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Displaying posts with tag: Industry Info (reset)

E-commerce – Uptime and Web apps are the keys
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Since 2011 e-commerce has grown from $856,000,000.00 to closing out 2013 at more than $1,248,000,000,000.00 in global revenues, a nearly 41% growth rate over a two year span. The forecast for 2014  is targeted at $1,500,000,000,000.00, another 20% increase is gross revenues (see chart below). With trillions of dollars in play year on year now, and astounding revenue growth rates still ahead, it is critical that any e-commerce site be diligently monitoring not just their website uptime, but more importantly their Web applications. Obviously it is critical that your customers be able to get to your website, but if it doesn’t build fast and complete client requests and transactions even faster then

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Amazon’s Big Data Suite – Part 2
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In Part 1 we started our study of Amazon Services and looked at Amazon EC2. In this part, we will look at other Amazon services like EMR, DynamoDB and RDS.

 

  • 1.      Amazon Elastic Map Reduce
  • Amazon EMR is a web service which makes cloud computing very easy. Amazon’s EMR cluster comes preconfigured with Hadoop, which as mentioned earlier is a data processing and storage framework. This preconfiguration makes it very easy to start analysing your data in no time. Amazon EMR has applications in machine learning, financial analysis, bioinformatics etc.

     

    Just like EC2, you can launch any number of EMR instances as you need and you will only be charged for the computing power you have used.

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    Big Data Tools that You Need to Know About – Hadoop & NoSQL – Part 2
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    In the previous article we introduced Hadoop as the most popular Big Data toolset on the market today. We had just started talking about MapReduce as the major framework that makes Hadoop distinctive. So let’s continue the discussion where we left off.

     

    MapReduce is really the key to understanding Hadoop’s parallel processing functionality as it enables data in various formats (XML, text, binary, log, SQL, ect) to be divided up and mapped out to many computers nodes and then recombined back to produce a final data set.

     

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    Big Data – What is it and Why is it Important – Part 4
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    In Part 3 of this series we found out that Big Data is a huge revenue generator for business that is expected to drive $232 billion in spending through 2016. In this installment we’ll continue to explore why Big Data must become a critical part of any business strategy in the 21st century.

     

    First, the Bad News

     

    Okay, so we get the notion of what Big Data is and why it’s important for business. So what can be done about it? The first point is to recognize your business strategy and needs as well as the limitations in your current infrastructure. Traditional organizational data warehouses are based on structured, well-organized data sets. Think Oracle,

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    Showing entries 1 to 4

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