big data

Big Data.. .the new job source??? {3}

by Claudia J
I picked the article that talks about how the big data boom is expected to generate large numbers of IT jobs in the US by 2015. According to Gartner, an IT researcher, predicted that there will be around 1.9 million more IT jobs but the unfortunately the issue will be that there aren’t enough trained people to take over the jobs. read more...

Big Data = Big Spending {3}

by Leonardo S
The article I chose for this week is titled “Big Data Drives Big IT Spending” by Kevin Fogarty. As you may have already guessed, the focus of the article is about the predicted amount of spending needed to keep up with the demands of big data. According to a Gartner study, half of all IT resources well be spent in order to update or create complex infrastructures. The report predicts that worldwide IT spending will total up to $28 billion in 2012 and up to $34 billion in 2013. This spending will cover the adding of more storage, new databases, and new servers. The article also talks about a different study that comes from IBM and the University of Oxford. Their reports are that much of current IT spending is focused on obtaining and analyzing data from a variety of sources. Both studies ultimately come to the same conclusion, that big data requires big spending. read more...

Placing Money On Big Data {3}

by Rudy P
The article I chose to blog about this week is titled “Why VCs Will Continue to Invest In Big Data Startups For Many Years To Come” by Alex Williams. Mr. Williams first off mentions the great amount of money raised by Splice Machine, MongoHQ, and Bloomreach. All three companies have raised over $4million recently, which Bloomreach leading the way by raising “$25 million in funds for its big data applications” (Williams, 2012). These companies show investors are very interested and believe in the future of big data and the evolution of data infrastructures.  Big data has made so much noise in recent times that Gartner Researched recently published an article stating big data will bring about $232 Billion of spending in IT through 2016. These leaders of big data have much to do with it, due to their easily scalable database design based on NoSQL. The industry as a whole is seeing a shift as the author states, “business intelligence applications, for instance, have started to transition from an OLAP data source in a relational database to a new type of service that connects different data sources from social networks, third-party apps and other sources” (Williams, 2012). read more...

PureData: The next big system by IBM {2}

by Leonardo S
A few weeks ago I blogged about a new product by IBM initially refereed to as Project Sparta.  Earlier this week, IBM introduced that same product which they now call the PureData System.  They also announced that it will have three different versions each having an expertise in a certain area.  The first is meant to govern transactions, the second covers operations, and the third takes care of big-data analytics.  The author of the article spoke with a general manager from IBM and talked about how the new product would help, for example, a sales website.  While one version of the system handles the sales, another could be used to try and figure out the kinds of combinations of products that are bought at different times of the year. read more...

MySQL Discovers A Need For A Defense {3}

by Katheryn T
I read an interesting article about what was better for a business that has a high volume of data; MySQL or NoSQL. In order to really understand it I looked up what NoSQL is. Essentially, NoSQL is a type of database management system that is not built on tables and does not use a structured query language. This article specifically talked about the advantages of MySQL verses the new NoSQL. In the typical ER model, the architectural structure is limited. This causes concerns with large inflow of data. It isn’t unmanageable, just an apprehension. NoSQL was designed to manage these large inflows of data better and faster. PayPal uses MySQL because of the architectural benefits. They had to think about how to build the system to accommodate for large amounts of users. “The approach they used, called architectural tiling, was designed to ‘build a system that scales to an arbitrary number of users. And [they] did that with SQL,'”(Jackson, 2012). MySQL is used in many businesses because of familiarity and data security. It is also used as a “building block — use it as a really strong core of features that we understand, and build solutions on top of that core”(Jackson, 2012). read more...

Big Data and Credit {1}

by Sam T
This article, “Big Data for the Poor” presents that lenders are now able to better determine borrowers credit score. ZestCash aimed to move past the 40 year old system of how lenders determined a borrowers credit score by looking at many other variables such as, the area the borrower lived in to giving up a prepaid cell phone. Many borrowers are poor in data because they have not established long enough credit history or work records. read more...

A New Approach to Analyzing Big Data {1}

by Leonardo S
The article I chose this week is titled “Trifacta Aims to Make Big Data Useful, Lands $4.3 Million From Accel Partners” by Arik Hesseldahl. The focus of the article is based around a new company called Trifacta. The company was recently started by Joe Hellerstein, a computer science professor at UC Berkeley, and Jeffrey Heer, a professor at Stanford. Their goal is to find a way to make big data analysis much easier and more accessible. They have already gotten over $4.3 million in investments from firms such as Accel Partners and X/Seed Capital. The idea that you can take a large amount of data and put it through a guided process is something is widely appealing to the whole industry. read more...

Big Data and its Effect on Businesses {3}

by Andrew S
This article was a very interesting read for me, it mainly talked about big data and how it is growing in data analysis.  With the infinite amount of data on the Web, data consultants are in high demand to make sense of all the data.  It also talks about how data is the new class of economic assets, as it can serve to be a valuable tool for big companies.  Facebook and Google are just some of the online conglomerates that harness the data of the Web with their own advertising.  It talks about what exactly is Big Data, which is a marketing term for the advancing trends in technology, and how it affects the digital age today.  There are many ins and outs of the influence of data in today’s digital age and this article just touches on the surface of it. read more...

IBM’s ‘Project Sparta’ {3}

by Leonardo S
I chose the article titled “IBM Readies ‘Project Sparta’  Aimed at Simplifying Big Data” written by Arik Hesseldahl.   In this article, Hesseldahl talks about the next new product expected to be released from IBM. This will be the third product in a product line that was announced earlier this year. Back in April of this year, IBM announced its PureSystems line who’s goal is to consolidate computing tools into one line of products. The first product announced, PureFlex, was designed to easily cater to the computing, data storage, systems management, and networking needs of a data center.  The second product, PureApplications, deals with database and Web transactions.  The highly anticipated next entry to the product line known for now as “Project Sparta” is expected to be announced during IBM’s company event on October 9. read more...

Big Data joined by Nodeable {1}

by Rudy P
I chose to read the article, “Twitter’s Open Source Big Data Tool Comes to the Cloud Courtesy of Nodeable” by Klint Finley. This article gives details of a new Big Data analysis software by Nodeable called StreamReduce. This software is based on a software created by a Twitter owned company called storm. Finley goes on to state, “StreamReduce is essentially Storm hosted in the cloud, with a few extras such as connectors to Apache Hadoop” (Finley, 2012). Nodeable began as a company which developed software for both data management and analysis, however due to market demand they have shifted their attention to analysis. Nodeable is joining an increasingly competitive market where companies such as HStreaming already exists, and possible companies such as Amazon may join in the near future. read more...