Biology Lab Report on the Effects of Photosynthesis Essays

Science Lab Report on the Effects of Photosynthesis Essays Science Lab Report on the Effects of Photosynthesis Paper Science Lab Report on the Effects of Photosynthesis Paper Exposition Topic: Photograph Union Proposal Vitality (TAP), at first as glucose (macroeconomics) is later outfitted by buildup response into starch (polysaccharide). These alpha glucose units are appended together by glycoside bonds. Starch is shaped after the Calvin Cycle in the Stoma. Carbon dioxide is available noticeable all around and the water is picked up from precipitation or morning dew. The water is separated in photosynthesis I (sourcing undetectable light of Mann) by photolysis. This procedure sets free electrons and helps close the pattern of the light needy stage. Be that as it may, before this procedure can be set off, an angle in vitality must be accomplished. The most vitality is picked up in the initial segment of the light reliant stage (which makes the inclination) of photosynthesis II, sourcing in noticeable light of Mann. There are 5 significant necessities for photosynthesis to happen: 1) A temperature in nature between 5 35 degree Celsius, 2) Chlorophyll accessible in chloroplasts, 3) Water, 4) Carbon dioxide and 5) Light of good power. On the off chance that any of these elements are missing, photosynthesis can't happen. Materials required Materials list Geranium, begonia, or impatiens plants (altogether green leaves), coleus with flooded leaves (green and white hued), hot plates and high temp water shower, Logos iodine arrangement in dropper bottles, 250-ml measuring glasses, 100-ml containers, tongs, forceps, Petri dishes, glass-stamping pencil, 70% liquor Method PART I Effects Of Light And Dark On Starch Formation The leaves utilized for Part I are totally green. A couple of these leaves have been totally and in part secured with dark paper two days before the lab. At that point the plant was presented to acceptable light during the day. 1 . With a glass-stamping pencil, mark one 250-ml measuring utencil light, and name another 250-ml recepticle dull. Half-fill the two measuring utencils with water. Spot a revealed leaf to light, and both a completely secured and a semi-shrouded leaf in obscurity, in the suitably stamped measuring utencils. Spot the measuring glasses on the hot plate, carry the water to bubbling, and heat up the leaves 5 minutes. 2. While the leaves are bubbling, utilize another hot plate to set up a boiling water shower. Mark one 100-ml measuring utencil light, and one dim. Half-fill each with 70% liquor. With forceps or tongs, expel the bubbled leaves from the water and move each to the fittingly stamped littler measuring utencil. Spot both 100-ml measuring glasses in the bubbling water shower. Carry the liquor to bubbling, and bubble tenderly until all the chlorophyll in the leaves has broken down in the liquor. 3. While the leaves are bubbling, mark one Petri dish lighting another dim. At the point when the leaves have lost their chlorophyll, utilize the forceps to move each to the effectively stamped Petri dish. 4. Delicately spread out the leaves in the Petri dishes. Include drops of Logos iodine answer for each leaf until iodine has come into contact with the whole leaf. 5. Wash all china altogether. Dry the table top with a paper towel PART II Effect Of Chlorophyll On Starch Formation The plants utilized in Part II have been presented to brilliant light. You will test their leaves for starch, as you did in Part l. One leaf will be all green, and the other will be mostly green and somewhat white (variegated). 1. Rehash Steps 1 through 4 of Part I utilizing one all-green leaf, and one green-and-white leaf. Mark the measuring glasses and Petri dishes G for the green leaf and G W for the green and white leaf. A. Prior to heating up the green and white leaf, make a drawing of it, demonstrating the conveyance of chlorophyll. Mark the drawing variegated Leaf b. Watch the shading changes that happen when Logos arrangement is put on the . In the wake of testing for starch, draw the two leaves and demonstrate the conveyance of starch. Spot the right title under each leaf. Information Collection and Data Analysis Sketch 1 Sketch 2 Analysis In Sketch 1 the light presented leaf appeared to have delivered more starch than the secured leaf. Truth be told the secured leaf didn't show any dull purple shading whatsoever. Sketch 2 show the variegated leaf, before being gone through the lab methods, green and white are obviously discernable. In the wake of having rewarded the green and the variegated leaf (sketch 2) certain territories of the variegated leaf showed the nearness of starch. The shading occurred uniquely on the green parts, the white ones appeared to be unaffected. Question answer 1. In Part l, for what reason did you test leaves that had been presented to light just as those that had been uninformed? Those leaves in obscurity were not presented to any light, hence additionally didnt have any photosynthesis happening. This will make a complexity towards the light uncovered leaf and will help picture the job of chlorophyll. 2. In Part II, for what reason did you test leaves that were all green just as leaves that were part green and part white? Since chlorophyll includes a leaf, we needed to see f likewise some of it was available in the white zones of a leaf. This WOUld bolster the presumption that chlorophyll is green. 3. From the consequences of Part l, what would you be able to finish up about the connection between presentation to light and the nearness of starch in leaves? The leaves presented to light had photosynthesis happening, creating glucose atoms which would be changed into starch. Placing this into connection to the secured/obscured leaves that didnt turn dim purple in the wake of having dropped the iodine on it prompts the end that starch is possibly shaped when the leaf is presented to eight. 4. From the aftereffects of Part II, what would you be able to close about the connection between the nearness of chlorophyll and the nearness of starch in leaves? The Iodine arrangement was dropped on both of the leaves. The green leave had dim purple dabs on top of it, demonstrating the capacity of starch. The variegated leave just had dull purple shading on the green lines, the white stripes didn't show any starch stockpiling. 5. Two essential suspicions of the two analyses acted in this movemen t are 1) that the nearness of starch shows that photosynthesis has happened, and ) that the nonattendance of starch demonstrates that no photosynthesis has happened. Are these suspicions experimentally legitimate? State why or not. They appear to be experimentally substantial, in light of the fact that tests have been led upon the issue with coming about data to either bolster or discredit the theory. For this situation we have accumulated proof that depends on clear thinking. End The proof increased through this test underpins the theory. The Iodine assisted with limiting the starch and recognize the variables contributing the vitality stockpiling of photosynthesis. We would now be able to express that photosynthesis just happens during light introduction and starch is just created on territories where chlorophyll is available.

Brigance Testing - Inventory of Early Development Coursework

Brigance Testing - Inventory of Early Development - Coursework Example This article focuses on that the evaluation normed on the youth stock for kids matured between zero to seven years. This incorporates significantly youngsters going to Pre-Kindergarten, Kindergarten, and First Grade. The appraisal centers around the general information on these kids in the eleven specific zones of evaluation, which lead to the assurance of the learning progress of kid. The test centers around youngsters at their beginning times of learning so as to make a reasonable learning condition for them later on by setting the correct track from as right on time as Pre-Kindergarten. At this beginning time, a kid becomes more acquainted with their shortcomings and qualities, and afterward begins enhancing them as opposed to letting the issue lie for certain years into the center school, for example, before initiating take a shot at it. This paper makes an end that this appraisal is additionally versatile to kids with constraints, for example, those with correspondence and language impediments. The test empowers educators to distinguish the specific zones in their restrictions that make it hard for them to embrace an appropriate learning experience. The schools being referred to concentrate plainly on the organization of a Bringance Test to the kids during affirmation so as to decide their feeble and solid territories, just as concoct the correct systems to improve and keep up their presentation so as to upgrade their learning experience. This test empowers kids to improve their taking in progress from a beginning time

MemSQL

MemSQL INTRODUCTIONMartin: Hi, today we are in beautiful San Francisco in the MemSQL office. Hi, Eric, who are you and what do you do?Eric: I am the CEO and co-founder of MemSQL and its good to have you over.Martin: Great, awesome! What is MemSQL?Eric: MemSQL is a real time database for transactions and analytics. It’s core infrastructure and it is designed basically to help businesses optimize their real time operations.Martin: How did you come up with such an idea?Eric: So I worked at Facebook a few years ago, prior to starting MemSQL and my co-founder and I were seeing the tip of the spear of big data problems being solved at Facebook. And it really was an inspiration for us to depart and start a new company.Martin: And what did you see working there at Facebook and what things did you take of that and said, “Ok, now we would like to offer this to the world”?Eric: As you know Facebook is one of the largest web destinations on the internet. It was at that point and still is scaling with a lot of infrastructure and system design to support a billion for people every month. So a lot of the big data problems internally were about volume but there were also new challenges arising around real time analytics. How do you actually change Facebook quickly so that you can adapt it to certain geographies or certain different user demographics? And what we saw was basically a lot of early work around real time processing systems, not just the standard batch systems like data warehouses or Hadoop. We realized that this would be very useful for the rest of the IT industry, so it was one of the reasons why we left, to bring it to everyone else.Martin: Did you validate that this idea that it is working for other companies as well before you left Facebook?Eric: My background at Facebook was working with some of the Facebooks key partners. I was a partner engineer and I saw a lot of those partners basically choke on the Facebook social graph, just so much data was available. So we saw that other companies obviously try to consume that data and they invariably had database problems, the bottleneck in the database chair. So it was both seeing what was happening internally at Facebook as well as some of our partners where it was a lot of validation. And then of course you look at the broader industry at large and data volume and velocity is always a problem. That’s why it’s called big data, it’s a big, big problem to be solved.Martin: And walk me through the process. Once you’ve left Facebook with your co-founder, what did you do? Did you just right away built a new database or did you first try to find funding? Did you first try to find customers?Eric: So we were accepted into an accelerator program called Y Combinator and that provided a great pathway for us to leave Facebook and basically get started in a two bedroom apartment in Menlo  Park. Two guys and a dog. We basically had given up our salaries, all the great perks for what was $20,000 in s tartup capital. And to answer the question, I mean Facebook is a very special place. It’s a great place but we also knew when we left that we will be working from scratch on everything. And when you decide to build an enterprise company especially one in database infrastructure there is no ability or expectation that you would start with something, you are starting from scratch. So the first step was obviously to begin fundraising, to build a team that could deliver the software, and that’s what we did. So we spent two months at Y Combinator and graduated the program and concluded with a 2 million dollar seed round which gave us the capital to build a team of engineers to really release the first MVP â€" minimal viable product in the system.Martin: So you only first release the first database for MemSQL after you got the 2 million and had engineers working on that?Eric: Yes, the databases are not easy. It took us about two years of stealth mode to deliver the first MVP and that was basically only a stepping stone for us because actually the full product was not released until April of 2013. So it took a lot of effort to deliver the product but now that we have it out in the market, on the wild it has been phenomenal to see all the customers using it. So building a database is not for the faint of heart and it takes a lot of money and you need basically good alignment between funding and team to deliver something like a database. Typically though for startups you want to have far shorter response times on your own MVP; for application stack you should be thinking in terms of weeks to months, not years.Martin: Did you do any startup before MemSQL?Eric: it’s my first startup.BUSINESS MODEL OF MEMSQLMartin: Good. Let’s talk about the business model of MemSQL. So what are the specific customer segments that you are targeting?Eric: Sure. At a high level the business model is focused on delivering software to our customers via term based subscription model. S o it is basically a commercial software license that our customers subscribe to. It gives them an ability to expand as they need. A lot of the industry in our space will price by core or by server. We price by capacity, which means that our customers are encouraged by us to use as much CPU as they want. So this means that they can get more performance out of the system irrespective of the number of cores that they want to use. They can always add more cores to the database.Martin: There are so many different databases like SQL, no SQL databases and one of those non-SQL databases, there is MemSQLâ€"Eric: We are very much SQL. We are not noSQL. We are a relational database.Martin: Really?Eric: Of course. It is in our name. Actually it’s a great thing to touch on because I think a good name is so critical that you want to be very prescriptive about what it does. So our name comes from the fact that Mem stands for memory and SQL stands for structure query language, so it lets any deve loper know immediately what we do. And best of all we paid 6 dollars for domain name. It was just available.Martin: Awesome. And so what is the big difference then between a normal SQL database and MemSQl databases?Eric: Like A normal relational database?Martin: Yes.Eric: The biggest difference is that it is designed to be on distributed system, so most disk based databases are single box, ours is a multibox design. And then of course Mem for memory means that most of the first operations are held in memory and then of course we put them on disk for the customer. So the biggest difference is that we are very, very fast and we are analytically focused, so you can use the scale of the architecture to basically compute faster.Martin: Can you name some use cases that some customers did based on MemSQL?Eric: Sure. All of our customers use us effectively for optimization around their businesses. Within financial services we do a lot of fraud detection, trading analyses, risk exposure anal yses, ledger consolidation, a lot of things that are just around the concept of very fast processing.Within ad tech we do real time bidding and attribution to our customers as well as real time segmentation. Basically the ability to segment our users based on some profile characteristics.We have a very great expertise with IoT data; internet of things. So we track a lot of smart devices for our customers for the likes of ComCast with XFINITY, Samsung with their Smart TVs and some other great customers that use us for various devices as well.Martin: And walk me through the process of how it typically works. Is it like, just an assumption, that you build for example a Kafka Flume chain for the ingestion part, pump the data that you need for a specific use case in a MemSQL database and then how do you get this out?Eric: Yes, that’s a great question especially because it lines up exactly what we are doing with our latest product called Streamliner. So when you described around a chain with Kafka connecting to something transformation like Spark, going to MemSQL is like a new product that we launched last month called MemSQL Streamliner for Spark. What it effectively give you is an ability to copy and paste the Kafka URL into the manager dashboard of MemSQL, subscribe to a topic and then low and behold the data is readily available for analysis in MemSQL. So we support semi-structured data with JSON and that Kafka feed is basically pipelined into JSON data type â€" JSON column in a MemSQL table. At that point you can use SQL to traverse it, analyze it, index it, join it â€" whatever you want. But that’s a real time use case that is extremely exciting because are so many customers are actually getting onto the real time data pipeline use case.Martin: For analytics I totally get it that you are close to real time.Eric: We are very much real time. So we can consume millions of events per second and the way we designed the system; an insert will never block a selec t, a select will never block an insert. So this means that you can be inserting data and reading across, scanning across billions of records at the same time. So there actually is no delay in the analytics so you can get as close as you can down to the last transaction down the last one.Martin: What is the secret sauce of competitive advantage that keeps you ahead? For example we met in another company that was in database, they said, “We are the leaders currently in the database, that’s why we have the biggest ecosystem. This is our competitive advantage”. What’s yours?Eric: Well, at the end of the day as a core technology company our competitive advantage is the software that we build and how we’ve built it. Certainly how we built the software is worth sharing a bit It is very hard to build, b-filed patterns and you get talks and you go to database conferences. But at a high level we do something to how we store the data so we use lock free data structures in memory. If you are familiar with database data structures, a b tree is a typical data structure for disk based system that has no need in memory. So the analog for in memory system is a skip list and that skip list lets us do very rapid scans.We have a lock free hash tables for these quick value look ups.We also have a distribute query optimizer so the fact that our query optimizer can take a query that a user might send to the system, we will break it down to smaller pieces and then push it out to other machines for computations. How we actually do all this is obviously the core part of MemSQL but on top of that in our execution engine, we also actually will convert your SQL query into machine code. So this is an amazing improvement, because you no longer bottle necking on I/O and we are now optimizing as best as we can around CPU. So by removing interpretation from a hard code path we can effectively squeeze the CPU for even greater performance.So it is a combination of a lot of different t hings but we have the ability to work with data very quickly and part of what we designed and built the execution engine and the storage engines.Martin: How do you acquire your customers? Are you having a direct sales force or are you using some kind of distribution partner?Eric: Sure, in the early days when you get started you always have to be the chief sales officer as a founder. That’s what I did in the early days. Now we do have a field team, we have direct sales teams and inside team and typically you want to work with customers that have a problem and you can segment them in terms of who is going to be likely to be a customer. So there are certain industries that we don’t sell to â€" like insurance, which is a very slow moving industry but you have to know who your customers are and then as soon as you do you can start working basically with sales teams to acquire them. We have a community edition, we have a free version of the product that anyone can use for free forever . And that has been a great source for us to build our relationship with those customers.Martin: And why are you not selling to insurance companies? Only because their adoption rate is so slow or?Eric: No, no, there are certain industries that just don’t have a need for fast computation. So insurance is a very well architected or very well understood I should say industry. For example there are some things called actuarial tables that tell you pretty much accurately when someone is going to die. And the whole business model in that industry is basically doing a very simple risk model around how to optimize that function. So those are certain industries that, they probably fine with batch analytic processing. When we come into play with real time it is around faster moving industries â€" things like financial services, ad technology, telecom, online business. Those are the sort of industries that benefit from faster information processing.Martin: What is your assessment of the tren ds in the database landscape, where you see the relational and not relational databases? What is your perspective on that?Eric: I think there has been general recognition that noSQL as a category will effectively dissolve into the larger category of databases in general. And I say that because most NoSQL vendors are actually effectively adding SQL back into the mix. But you also have relational vendors like MemSQL and Oracle and PostGres that are also adding a little bit of noSQL into the mix. So I mentioned earlier that we have that JSON data type. That’s an unstructured or semi structured feature that our customers love to combine with relational algebra. So what Garder is predicting is that noSQL as its own category will exist over next few years base anything that have meaningful value will eventually have SQL, especially in analytics. You need to do a join in analytics â€" you need SQL for that calculation. So what we have seen in the market is a lot of the vendors add SQL ba ckend somehow or someway. Over time we’re going to find what is going to resolve is what is called a multimodal database, and a multimodal database is just a way of saying that everything has multiple means of interacting with data.Martin: And is it really realistic to have a database where is multipurpose because I have seen a lot of databases that are for a specific type of usage like graph databases.Eric: Yes. There is always I think a specialty databases that are well suited like graph databases for example, something like document database can have good use cases sometimes. But generally any data that is useful to a business will be structured at some point so it’s always matter of when that data is either deleted or structured.Martin: What is your opinion then on the Hadoop world so to speak? Is it also one way we can store data and batch it in real time?Eric: It fills exactly into the need of two things around the relational or SQL question versus batch processing. At hig h level Hadoop is a great way of storing data. HDFS is really what it is all about and if the cost of storage is zero, and it is, then something like Hadoop should exist and I am glad it does. Of course what you see in the Hadoop space is a general disconnect between the storage which is HDFS and the execution which today has been MapReduce. The MapReduce has been proven, everyone agrees, it is very, very up toes, it is very hard to work with. And that’s why you are seeing a lot of innovation with SQL Hadoop like Impala and Presto coming up to play. And that exactly fits the thesis at least or the hypotheses that SQL is going to carry the day in the enterprise. And certainly even in the big data market SQL is going to carry the day. So Hadoop is great for batch processing, but we need real time, using some in memory apps are critical which is why patchy Spark is so exciting because adding an in-memory execution environment to the Hadoop ecosystem.ADVICE TO ENTREPRENEURS FROM ERIC FRENKIEL In San Francisco (CA), we meet CEO and Co-Founder of MemSQL, Eric Frenkiel. Eric talks about his story how he came up with the idea and founded MemSQL, how the current business model works, as well as he provides some advice for young entrepreneurs.INTRODUCTIONMartin: Hi, today we are in beautiful San Francisco in the MemSQL office. Hi, Eric, who are you and what do you do?Eric: I am the CEO and co-founder of MemSQL and its good to have you over.Martin: Great, awesome! What is MemSQL?Eric: MemSQL is a real time database for transactions and analytics. It’s core infrastructure and it is designed basically to help businesses optimize their real time operations.Martin: How did you come up with such an idea?Eric: So I worked at Facebook a few years ago, prior to starting MemSQL and my co-founder and I were seeing the tip of the spear of big data problems being solved at Facebook. And it really was an inspiration for us to depart and start a new company.Martin: And what did you see work ing there at Facebook and what things did you take of that and said, “Ok, now we would like to offer this to the world”?Eric: As you know Facebook is one of the largest web destinations on the internet. It was at that point and still is scaling with a lot of infrastructure and system design to support a billion for people every month. So a lot of the big data problems internally were about volume but there were also new challenges arising around real time analytics. How do you actually change Facebook quickly so that you can adapt it to certain geographies or certain different user demographics? And what we saw was basically a lot of early work around real time processing systems, not just the standard batch systems like data warehouses or Hadoop. We realized that this would be very useful for the rest of the IT industry, so it was one of the reasons why we left, to bring it to everyone else.Martin: Did you validate that this idea that it is working for other companies as well b efore you left Facebook?Eric: My background at Facebook was working with some of the Facebooks key partners. I was a partner engineer and I saw a lot of those partners basically choke on the Facebook social graph, just so much data was available. So we saw that other companies obviously try to consume that data and they invariably had database problems, the bottleneck in the database chair. So it was both seeing what was happening internally at Facebook as well as some of our partners where it was a lot of validation. And then of course you look at the broader industry at large and data volume and velocity is always a problem. That’s why it’s called big data, it’s a big, big problem to be solved.Martin: And walk me through the process. Once you’ve left Facebook with your co-founder, what did you do? Did you just right away built a new database or did you first try to find funding? Did you first try to find customers?Eric: So we were accepted into an accelerator program calle d Y Combinator and that provided a great pathway for us to leave Facebook and basically get started in a two bedroom apartment in Menlo  Park. Two guys and a dog. We basically had given up our salaries, all the great perks for what was $20,000 in startup capital. And to answer the question, I mean Facebook is a very special place. It’s a great place but we also knew when we left that we will be working from scratch on everything. And when you decide to build an enterprise company especially one in database infrastructure there is no ability or expectation that you would start with something, you are starting from scratch. So the first step was obviously to begin fundraising, to build a team that could deliver the software, and that’s what we did. So we spent two months at Y Combinator and graduated the program and concluded with a 2 million dollar seed round which gave us the capital to build a team of engineers to really release the first MVP â€" minimal viable product in the system.Martin: So you only first release the first database for MemSQL after you got the 2 million and had engineers working on that?Eric: Yes, the databases are not easy. It took us about two years of stealth mode to deliver the first MVP and that was basically only a stepping stone for us because actually the full product was not released until April of 2013. So it took a lot of effort to deliver the product but now that we have it out in the market, on the wild it has been phenomenal to see all the customers using it. So building a database is not for the faint of heart and it takes a lot of money and you need basically good alignment between funding and team to deliver something like a database. Typically though for startups you want to have far shorter response times on your own MVP; for application stack you should be thinking in terms of weeks to months, not years.Martin: Did you do any startup before MemSQL?Eric: it’s my first startup.BUSINESS MODEL OF MEMSQLMartin: Good. Let’s talk about the business model of MemSQL. So what are the specific customer segments that you are targeting?Eric: Sure. At a high level the business model is focused on delivering software to our customers via term based subscription model. So it is basically a commercial software license that our customers subscribe to. It gives them an ability to expand as they need. A lot of the industry in our space will price by core or by server. We price by capacity, which means that our customers are encouraged by us to use as much CPU as they want. So this means that they can get more performance out of the system irrespective of the number of cores that they want to use. They can always add more cores to the database.Martin: There are so many different databases like SQL, no SQL databases and one of those non-SQL databases, there is MemSQLâ€"Eric: We are very much SQL. We are not noSQL. We are a relational database.Martin: Really?Eric: Of course. It is in our name. Actually it’s a great thing to touch on because I think a good name is so critical that you want to be very prescriptive about what it does. So our name comes from the fact that Mem stands for memory and SQL stands for structure query language, so it lets any developer know immediately what we do. And best of all we paid 6 dollars for domain name. It was just available.Martin: Awesome. And so what is the big difference then between a normal SQL database and MemSQl databases?Eric: Like A normal relational database?Martin: Yes.Eric: The biggest difference is that it is designed to be on distributed system, so most disk based databases are single box, ours is a multibox design. And then of course Mem for memory means that most of the first operations are held in memory and then of course we put them on disk for the customer. So the biggest difference is that we are very, very fast and we are analytically focused, so you can use the scale of the architecture to basically compute faster.Martin: Can you name some use cases that some customers did based on MemSQL?Eric: Sure. All of our customers use us effectively for optimization around their businesses. Within financial services we do a lot of fraud detection, trading analyses, risk exposure analyses, ledger consolidation, a lot of things that are just around the concept of very fast processing.Within ad tech we do real time bidding and attribution to our customers as well as real time segmentation. Basically the ability to segment our users based on some profile characteristics.We have a very great expertise with IoT data; internet of things. So we track a lot of smart devices for our customers for the likes of ComCast with XFINITY, Samsung with their Smart TVs and some other great customers that use us for various devices as well.Martin: And walk me through the process of how it typically works. Is it like, just an assumption, that you build for example a Kafka Flume chain for the ingestion part, pump the data that you need for a specific use case in a MemSQL database and then how do you get this out?Eric: Yes, that’s a great question especially because it lines up exactly what we are doing with our latest product called Streamliner. So when you described around a chain with Kafka connecting to something transformation like Spark, going to MemSQL is like a new product that we launched last month called MemSQL Streamliner for Spark. What it effectively give you is an ability to copy and paste the Kafka URL into the manager dashboard of MemSQL, subscribe to a topic and then low and behold the data is readily available for analysis in MemSQL. So we support semi-structured data with JSON and that Kafka feed is basically pipelined into JSON data type â€" JSON column in a MemSQL table. At that point you can use SQL to traverse it, analyze it, index it, join it â€" whatever you want. But that’s a real time use case that is extremely exciting because are so many customers are actually getting onto the real ti me data pipeline use case.Martin: For analytics I totally get it that you are close to real time.Eric: We are very much real time. So we can consume millions of events per second and the way we designed the system; an insert will never block a select, a select will never block an insert. So this means that you can be inserting data and reading across, scanning across billions of records at the same time. So there actually is no delay in the analytics so you can get as close as you can down to the last transaction down the last one.Martin: What is the secret sauce of competitive advantage that keeps you ahead? For example we met in another company that was in database, they said, “We are the leaders currently in the database, that’s why we have the biggest ecosystem. This is our competitive advantage”. What’s yours?Eric: Well, at the end of the day as a core technology company our competitive advantage is the software that we build and how we’ve built it. Certainly how we built the software is worth sharing a bit It is very hard to build, b-filed patterns and you get talks and you go to database conferences. But at a high level we do something to how we store the data so we use lock free data structures in memory. If you are familiar with database data structures, a b tree is a typical data structure for disk based system that has no need in memory. So the analog for in memory system is a skip list and that skip list lets us do very rapid scans.We have a lock free hash tables for these quick value look ups.We also have a distribute query optimizer so the fact that our query optimizer can take a query that a user might send to the system, we will break it down to smaller pieces and then push it out to other machines for computations. How we actually do all this is obviously the core part of MemSQL but on top of that in our execution engine, we also actually will convert your SQL query into machine code. So this is an amazing improvement, because you n o longer bottle necking on I/O and we are now optimizing as best as we can around CPU. So by removing interpretation from a hard code path we can effectively squeeze the CPU for even greater performance.So it is a combination of a lot of different things but we have the ability to work with data very quickly and part of what we designed and built the execution engine and the storage engines.Martin: How do you acquire your customers? Are you having a direct sales force or are you using some kind of distribution partner?Eric: Sure, in the early days when you get started you always have to be the chief sales officer as a founder. That’s what I did in the early days. Now we do have a field team, we have direct sales teams and inside team and typically you want to work with customers that have a problem and you can segment them in terms of who is going to be likely to be a customer. So there are certain industries that we don’t sell to â€" like insurance, which is a very slow moving industry but you have to know who your customers are and then as soon as you do you can start working basically with sales teams to acquire them. We have a community edition, we have a free version of the product that anyone can use for free forever. And that has been a great source for us to build our relationship with those customers.Martin: And why are you not selling to insurance companies? Only because their adoption rate is so slow or?Eric: No, no, there are certain industries that just don’t have a need for fast computation. So insurance is a very well architected or very well understood I should say industry. For example there are some things called actuarial tables that tell you pretty much accurately when someone is going to die. And the whole business model in that industry is basically doing a very simple risk model around how to optimize that function. So those are certain industries that, they probably fine with batch analytic processing. When we come into play with real time it is around faster moving industries â€" things like financial services, ad technology, telecom, online business. Those are the sort of industries that benefit from faster information processing.Martin: What is your assessment of the trends in the database landscape, where you see the relational and not relational databases? What is your perspective on that?Eric: I think there has been general recognition that noSQL as a category will effectively dissolve into the larger category of databases in general. And I say that because most NoSQL vendors are actually effectively adding SQL back into the mix. But you also have relational vendors like MemSQL and Oracle and PostGres that are also adding a little bit of noSQL into the mix. So I mentioned earlier that we have that JSON data type. That’s an unstructured or semi structured feature that our customers love to combine with relational algebra. So what Garder is predicting is that noSQL as its own category will exist over n ext few years base anything that have meaningful value will eventually have SQL, especially in analytics. You need to do a join in analytics â€" you need SQL for that calculation. So what we have seen in the market is a lot of the vendors add SQL backend somehow or someway. Over time we’re going to find what is going to resolve is what is called a multimodal database, and a multimodal database is just a way of saying that everything has multiple means of interacting with data.Martin: And is it really realistic to have a database where is multipurpose because I have seen a lot of databases that are for a specific type of usage like graph databases.Eric: Yes. There is always I think a specialty databases that are well suited like graph databases for example, something like document database can have good use cases sometimes. But generally any data that is useful to a business will be structured at some point so it’s always matter of when that data is either deleted or structured.M artin: What is your opinion then on the Hadoop world so to speak? Is it also one way we can store data and batch it in real time?Eric: It fills exactly into the need of two things around the relational or SQL question versus batch processing. At high level Hadoop is a great way of storing data. HDFS is really what it is all about and if the cost of storage is zero, and it is, then something like Hadoop should exist and I am glad it does. Of course what you see in the Hadoop space is a general disconnect between the storage which is HDFS and the execution which today has been MapReduce. The MapReduce has been proven, everyone agrees, it is very, very up toes, it is very hard to work with. And that’s why you are seeing a lot of innovation with SQL Hadoop like Impala and Presto coming up to play. And that exactly fits the thesis at least or the hypotheses that SQL is going to carry the day in the enterprise. And certainly even in the big data market SQL is going to carry the day. So Hadoop is great for batch processing, but we need real time, using some in memory apps are critical which is why patchy Spark is so exciting because adding an in-memory execution environment to the Hadoop ecosystem.ADVICE TO ENTREPRENEURS FROM ERIC FRENKIELMartin: Eric, imagine your younger sister comes to you and says, “Hey, Eric, I would like to start a company.” What advice would you give her?Eric: At a high level I will assume that she is a recent grad from college. Maybe she has just finished her degree in computer science and she is thinking about doing a company.And the very first thing I would tell her would be, “Don’t do it yet”. I would say, “What you want to do is spend a couple of years minimum in an industry you really care about and work at a big company so you can understand how big companies work and basically absorb a key part of that industry or that vertical. Once you have basically been able to learn a lot about that space, then you can start thinking about joining or starting a company. But I feel that it is so in vogue to start a company in your dorm room and you will find that all of the most successful companies that do start that way are by definition anomalies. When Mark Zuckerberg stared Facebook he didn’t intend to start Facebook. It was just a side project, a hobby and he only left college because it had to be built into something bigger and he was feeling the pressure to do that. So you really can’t force it in your dorm room or even right after college. You really have to figure out an industry you care about and learn about it. And then you can start thinking about innovating there in your own start up.”My own career has the same path. I worked at enterprise companies, consumer companies and then Facebook â€"another consumer company and I was able to learn a lot in my few years working and say “I am ready to start something like MemSQL”Martin: Totally agree. You need to have some domain knowledge. If it is like dating you don’t need to work at some other company, maybe you just go to the discotheque. But if it is like you want to disrupt the insurance world then maybe you should work at an insurance company.Eric: And also, of course young people are always encouraged to be trained and learn. So it’s always up to a company to provide that training. I would say that probably the biggest benefit there of course is that you get to learn how to be a manager. If you stay enough time you will eventually be able to learn how to manage people. And that is the hardest thing to do, because you just can’t read that in a book, you have to practice it and all the better if you can actually learn those techniques and learn how the corporate serves the management by working at a larger company that needs someone like that. And when you are ready to do it you get a chance on your own.Martin: What other advice would you give to your sister?Eric: At a high level beyond that, let’s say when you f ast forward a couple of years and maybe she doesn’t want to start her own company but she wants to join a startup, I would say that the easiest way to go about it is to do your research on all of the best companies back by tier one venture capitalists and just piggy back on the hard work of those other VCs to validate what are the good startups, and what are the ones most likely to succeed. So just as there are tier 1 and tier 2 Universities there are certainly strata at VC. And you will find that all of the most competitive companies are backed by the most competitive venture capitalists. And it is really great to join a series A or series B company when you are young because there is so much to do and you have a lot of freedom inside to basically work and contribute.My advice after a couple of years is of work or whatever have you beis find a company backed by a tier 1 venture capital firm that will benefit from someone with your skill set. It could be in computer science, it co uld be at marketing, it could be in sales, but you learn a lot more in an early stage company at a series A or series B level than you would if you join a larger company at a D, E, or sort of late stage company.Martin: Great. Eric, thank you so much for your time.Eric: My pleasure. Thanks for coming over.Martin: Sure. And next time if you want to really start a company think about it twice, because if you don’t know there is a big problem that needs to be solved maybe you should just start and work in a company like MemSQL or another series A or series B financed company. Thank you so much.

Sex Before Marriage Is A Sin - 958 Words

In most religions have similar views to each other when it comes to sex but, also different, in other ways. But, the majority believes sex before marriage is a sin. I grew up as a Mormon in California. Sometimes I am a little embarrassed to tell people that. My family and I went to church every Sunday and we followed all the typical Mormon rules. I could not date until sixteen, I dressed modestly so I did not tempt men to want sex with me, and I was expected to wait to have sex until I was married. Although, I do not consider myself a Mormon anymore it has really affected the way I view sex. We were taught in church that dating until sixteen was to help prevent premature sexual activity. I was taught all through life that sex was sort of a bad thing. Throughout my childhood they promoted dating, but limiting the dating for a more mature age. Kids these days become sexually active at a very young age and I think it worries the Mormon culture. I think this specific rule is good. I plan on using this rule with my children to let them try to be children for as long as they can. Most adolescents and children under the age sixteen are too young to handle the emotions involved with sex. Even though many teens argue they are ready to date and are capable of controlling their emotions before the age of 16. It is better to stay cautious and avoid dating too soon than the alternative. (Why does my Mormon friend not date until age 16? 2016.) Dressing modestly in 2016, is quiteShow MoreRelatedSex Before Marriage Is Immoral And Declared As A Sin918 Words   |  4 Pagesviews on what we believe is right, it is more or less based on the way we were raised and our morals and beliefs. Once we hit puberty and start learning about sex, many of us get curious and begin to experiment in sexual activity. We are influenced by many things in media like movies, shows and songs, almost forcing us to believe that sex is the greatest thing in the entire world. Abstinence is a moral that i s almost completely abolished in this modern age. People who do practice abstinence areRead MorePremarital Sex Essay1571 Words   |  7 PagesPremarital Sex Premarital sex is defined as when two people begin to engage in sexual intercourse before marriage. In todays society premarital sex has become part of the norm and has been accepted. Many young adults are living together before marriage and engaging in sexual activity. It has become apparent that more people are involving themselves in premarital sex and do not acknowledge that it is an immoral act. Sex has become a symbol for pleasure and is no longer considered sacred in today’sRead MorePremarital Sex1099 Words   |  5 PagesPremarital Sex: A Sin or Not? Thesis Statement: Some people are already doing sex before marriage because it does satisfy their sexual pleasures. Some think it’s good and natural because many people already engage to it. Some think it’s good and natural and they forgot that sex before marriage is a sin. It is unethical and evil in the eyes of GOD. Outline I. Definition of Premarital Sex A. Causes of Premarital Sex B. Effects of Premarital Sex II. Ethical or Not A.Read MoreSame Sex Marriage Should Be Legal in All States1390 Words   |  5 PagesSame Sex Marriage Should Be Legal in All States When you see the word marriage, what do you see or think of? Majorities of Americans will see a man and a woman together. That’s because it is a tradition that marriage is between a man and a woman. Wouldn’t it be nice if everyone could marry the love of their life? Unfortunately, same sex marriage is banned in thirty-two states and only legalized in eighteen states. So why can’t gay and lesbian couples marry each other? Same sex marriage is protectedRead MoreSexual Sin and Immorality in the Old Testament Essay1485 Words   |  6 Pageswas well detailed in the Old Testament to the point that I could not ignore it. This topic of sexual sin and immorality was the one thing that festered throughout my time of reflection, and the verses and passages that I picked up on after rereading the Old Testament was enough evidence for me to write about it and how the grip it has on my life impacts me both personally and as a Christian. Sexual sin and immorality are both abh orred by the Lord, and through the words of the Old Testament, I am ableRead MoreExamine the Way in Which One Religion Uses Scripture as a Basis for Its Teachings on Sexual Behaviour1525 Words   |  7 Pagescommand for the way in which sexual ethics is implemented. Christian teaching explores several issues in light of sexuality such as extra-marital and pre-marital sex, homosexuality and pro-creation and I will write about these in this essay. When looking at pre-marital sex, traditional Christian teachings of the bible suggest that sex is only for married couples and hetro-sexual couples. For example, Timothy 5:2: ‘As a Christian man, if you are not married to her, then she is your sister whom youRead MoreThe Rights Of Same Sex Couples1118 Words   |  5 PagesSoppho: Have you heard, Socrates, that our government is intending to extend the rights of marriages to same-sex couples? Under that change, gay partners will then be recognized equally as heterosexual husbands and wives. Socrates: Yes, but politicians and those in positions of influence have no business to mess with the standard of God relating to marriage, let alone decide to debate this issue as if it is open for discussion. Because of the way they are boasted, they don’t have a proper perspectiveRead MoreThe Flea, By Andrew Marvell996 Words   |  4 Pagesthis our marriage bed, and marriage temple is.(line 12,13) The speaker is suggesting that through the flea the two are married. Marvell states, â€Å"Times winged Charriot hurrying near: And yonder all before us lye† (line 22,23). The speaker is suggesting that since they are still young they do not have much time before their youth will be gone and death is near. The flea represents marriage, union, and consummation through intimacy. By mingling their blood, they were as one like a marriage. The fleaRead MoreWhy The Catholic Church Is Toward Sex And Dating892 Words   |  4 Pagesâ€Å"If you’re happy and you know it, it’s a sin† was a statement my former coworker made as to how he thought the Catholic Church viewed sexuality and dating. He made that statement because I had told them I was waiting for marriage and wanted to be chaste. Unfortunately this is the viewpoint as to how people think the Catholic Church is toward sex and dating. This deception is far from the truth, what the Catholic Church actually teaches is how to truly love to the fullest. When Catholic teens startRead MoreHomosexuality: Two Sides of the Debate1128 Words   |  5 PagesIn today’s society, it is impossible to go two weeks without seeing a headline detailing a recently proposed law regarding same-sex marriages or a news report depicting a mildly influential individual being publicly crucified for expressing degrading comments about homosexuality. Despite the commotion that surrounds the issue, I believe that it is not that complicated of a topic. Personally, I believe that the dispute should be separated into two distinct situations with two distinct solutions

The Invention Of Thomas Edison - 2485 Words

During the 1800’s, many inventions were made by Thomas Edison. He was an influential and dedicated inventor. At a young age, he gathered an abundance of information for his early inventions and because of that he quit his job to become a full-time inventor. In 1879, Edison invented electricity that created the first light bulb and also in 1877 he created the telegraph. Edison was significant for his life-changing inventions in society, that impacted others’ view of the usage, and the legacy that it still maintains. Thomas Alva Edison was born on February 11, 1847 in Milan, Ohio. He came from a family of political activist. His father was a tavern owner and land speculator that helped him lead an up rise in Ontario for representative government. His grandfather fought during the American Revolution for the British and his mother was a school-teacher. Edison was considered a slow-person at school due to him started school at the age of eight. He had a hearing problem but was not fully deaf. Edison considered being deaf was a benefit because it was an advantage of focusing and let his brain not be filled with nonsense. His mother took him out and taught him herself tremendously. She taught him the basics in order for him to catch up and his father also introduced him to a philosopher, Thomas Paine. Edison read Paine’s book and was very interested. Thomas Paine was a philosopher who influenced the American Revolution by his writings. Edison’s found Paine’s book interesting andS how MoreRelatedThe Invention Of Thomas Edison Essay1383 Words   |  6 PagesImagine a world where ideas and inventions are stolen off each other with no legal consequences. Imagine a world where Samsung wasn’t sued by Apple because legally, there is no penalty for stealing designs. Imagine a world where Alexander Graham Bell or Thomas Edison wasn’t famous for their inventions because someone else had stolen their ideas and created the inventions publicly first. This is what the world would have been like without the use of patents. Patents ensure that no idea is stolen,Read MoreThe Invention Of Thomas Edison Essay1662 Words   |  7 PagesThomas Edison is probably one of the world greatest inventors and largest contributors to the modern world we live in. Think of the world where candles were used more than light bulbs and there was no way to listen to music without it being live, or watching a motion picture movie. It seems impossible to have a world without these things but if Edison did not invent the footing for these objects they might not exist. Edison one of the most accomplished inventors to ever exist, with over one thousandRead MoreThe Invention Of Thomas Edison1227 Words   |  5 PagesThomas Edison was a great businessman who held over one thousand patents for his amazing, tremendously life changing inventions. His entrepreneurship began when he was only twelve years old, when he began to sell his self-published newspaper to the people who passed by him, at the â€Å"Grand Trunk Railroad.† At this same exact railroad, he set up a lab and began experimenting with chemicals. At the age of twenty-two he moved to New York, where he worked on his version of the stock ticker. Edison seemedRead MoreThomas Edison s Invention Of The World1095 Words   |  5 PagesJoey Schafer 2/16/16 Helman, 4 Thomas Edison Paper Thomas Alva Edison was one of the greatest inventors in the history of the world. He held 1,093 patents over his life, including patents for an incandescent light bulb, a projector, a battery, and a sound recorder. Thomas Edison was clearly an amazing inventor. Thomas, or Al, as his family nicknamed him, was born on February 11, in 1847. He was the youngest child in his family. His father was named Samuel, and had had many jobs, including beingRead MoreThe Invention Of The Incandescent Light Bulb By Thomas Alva Edison1540 Words   |  7 Pagescontributions of a single man. Thomas Alva Edison was a renowned American inventor of the nineteenth century who has contributed greatly to the world. Edison is most famously known for his invention of the incandescent light bulb, but many people are blind to his other achievements that have contributed immensely to society. There was more to Thomas Edison than his numerous inventions. Paul B. Israel, Director and General Editor of the Thomas A. Edison Papers at Rutgers, describes Edison as a â€Å"symbol of mythicRead MoreThomas Alva Edison: The Man of a Thousand Inventions Essay1344 Words   |  6 Pages(Sullivan 5).† These are the word that Thomas Alva Edison lived his life by. This is w hy he is known as the greatest inventor in Americas history. Thomas was granted 1093 patents over his life time. Some of the main inventions that changed the world are the electric light bulb, phonograph and movie camera and projector and much more(Jenkins 1). Thomas Edison is well known for his invention of electricity but he has made many more contributions to society. Edison was born on February 11, 1887 in MalianRead MoreSong Cover Designer : By Thomas Edison s Invention Of The Gramophone1756 Words   |  8 PagesAlbum Cover Designer About: The world of music was changed in the late 1800s with Thomas Edison’s invention of the gramophone. Since then the technology used to play and record music has evolved, starting first on cylinders, then to records, cassette tapes, compact discs and now digital files. The first record album covers were first designed in the 1930’s. While the size and format of ‘album covers’ continues to change, the visual design that goes with recorded music remains important. TheRead MoreThe Invention Of The Light Bulb1299 Words   |  6 PagesHave you ever wondered who invented the light bulb? Well here is some history on the inventor Thomas Alva Edison. Thomas was on February 11, 1847 in Milan, Ohio. He did many great inventions during his life. I will tell you later on in the paper about some of his inventions. In 1844- His family moved to Port Huron, Michigan, where Edison attended public school for only a total of 12 weeks. He was pulled out of the public school and home schooled due to being called a hyperactive child.Read MoreThe Wizard of Menlo Park and the Master of Lighting Essay1183 Words   |  5 PagesThomas Edison and Nikola Tesla were two of the most influential minds of the 1800s. Edison, the Wizard of Menlo Park, worked hard his whole life to achieve great feats in science. Tesla, the Master of Lightning, had a brilliant mind and contributed to an electronic growth that changed American history. Thomas Edison is such a familiar name, but Tesla on the other hand is more obscure. Edison is widely known by the American public, but his intellectual equal and adversary is often forgotten. EdisonRead MoreAnalysis Of Thomas Alva Edison s Life1475 Words   |  6 PagesThomas Alva Edison was born February 11, 1847, in Milan Ohio. He was the seventh and last child born to Samuel Edison Jr. and Nancy Elliot Edison. He would be one of the four to survive to adulthood[1]. During the Civil War, Edison learned a lot about the emerging technology of telegraphy. He traveled around the country doing lots of work in this field. Edison began to develop serious hearing loss early in life, in which many believed came from a serious case of scarlet fever or some type of blow

Aaron Beck Free Essays

Section 1 Abstract Biography Aaron T. Beck Aaron T. Beck (July 18, 1921) was born in Providence, Rhode Island USA, the youngest child of four siblings. We will write a custom essay sample on Aaron Beck or any similar topic only for you Order Now Beck attended Brown University, graduating magna cum laude in 1942, then attended Yale Medical School, graduating with an M. D. in 1946. He is an American psychiatrist and a professor emeritus in the department of psychiatry at the University of Pennsylvania. Beck developed cognitive therapy in the early 1960s, he is widely regarded as the father of cognitive therapy,and his ioneering theories are widely used in the treatment of clinical depression. Beck also developed self-report measures of depression and anxiety including Beck Depression Inventory (BDI), Beck Hopelessness Scale, Beck Scale for Suicidal Ideation (BSS), Beck Anxiety Inventory (BAI), and Beck Youth Inventories. He is the President Emeritus of the Beck Inst and the Honorary President of the Academy of Cognitive Therapy, which certifies qualified cognitive therapists. Beck’s daughter, Judith S. Beck, is also a researcher in the field of ognitive therapy and President of the Beck Institute. She is married with f our children, Roy, Judy, Dan, and Alice. He has nine grandchildren. Section 2 Question #1 Beck developed cognitive therapy in the early 1960s. He had previously studied and practiced psychoanalysis. Beck designed and carried out a numberof experiments to test psychoanalytic concepts of depression. Fully expecting research would validate these fundamental precepts, he was surprised to find the opposite. This research led him to begin to look for other ways of conceptualizing depression. Working with depressed patients, he found that they experienced streams of negative thoughts that seemed to pop up spontaneously. He termed these cognitions â€Å"automatic thoughts,† and discovered that their content fell into three categories: negative ideas about themselves, the world and the future. Beck then developed self-report measures of depression and anxiety including Beck Depression Inventory(BDI), Beck Hopelessness Scale, Beck Scale for Suicidal Ideation (BSS), Beck Anxiety Inventory (BAI), and Beck Youth Inventories. Section 3 Question # 2 I think Beck seen human beings as basically being good. Beck states that depressive cognition could be a result of traumatic experience or incapable of adapting coping skills. Depressive people have a negative perception or belief about themselves and their environment. According to Beck,†If beliefs do not change, there is no improvement. If beliefs change, symptoms change. † I think this means that your thoughts and beliefs affect your behavior, He believed that bad behavior is caused due to bad thinking, and that thinking is shaped by our beliefs. How to cite Aaron Beck, Papers

Clinical Safety Report

Question: Describe about the Report on Clinical Safety? Answer: 1) Appraisal of Charlies safety performance Charlie neglects his supervisors orders as well as basic rules (Wachter,2012) of healthy appearance and collecting blood from a patient. 2) Identification of Safety issues/violation by Charlie in Lab Charlie has violated the appearance rules(unshaved beard, dirty fingernails, no lab coat) as well as the clinical safety regulations (no gloves/PPE during blood collection, backdated medicine disposal in hospital drain, checking(blood clots) and mixing chemicals with bare/unwashed hands, no updating of inventory list and arrangement of equipment ) . 3) Safety Improvement Recommendations According to MSDS report, acetic acid is extremely hazardous to respiratory tracts, eyes and skin and sodium azide can cause irritation in skin and eyes (Faggian et al., 2014). Charlie should not pour those in the drain. He should be clean before entering the hospital and use lab coat regularly. Use of gloves, PPE is urgent while collecting samples from the patient. References Faggian, V., Scanferla, P., Paulussen, S., Zuin, S. (2014). Combining the European chemicals regulation and an (eco) toxicological screening for a safer membrane development.Journal of Cleaner Production,83, 404-412.