Sunday, February 24, 2013

Big data: Interesting findings in 2013

I've read many blogs posted in these two weeks. Our classmates shared some interesting information related to big data. I also did some research of how companies implemented big data. According to Microsoft Corp. new research, more than 75% of midsize to large businesses plan to implement big data projects within the coming year. They surveyed  more than 280 decision makers and discovered some key findings from the survey.

1. 62% of respondents currently store at least 100 TB data
2. 49% of respondents think it is extremely challenging to manage data growth.
3. Customer care, sales, and finance&marketing are the top three areas demanding big data insights.
4. 89% of respondents have a dedicated budget for big data.



The explosion of devices, apps, the cloud and the Internet has ushered in the era of big data. Survey results uncover several key trends as companies grapple with big data and start to use it to gain a competitive advantage.Since everyone has been talking about big data, big data is not the newest "phrase" anymore. It is even meaningless to some industries. A storage or analytic products  with small or huge amounts of data offered by many vendors are now called big data. Who cares if the data is called big data? Everything is called "big data". Thus, what are the frequently words people using to replace big data in 2013?

1. Smart data: "Smart data” to refer to an increasingly common pattern emerging in the big data scene involving the productization of persistent data through predictive analytics. Examples of companies leveraging smart data include Netflix, Amazon, Rich Relevance, Gravity, LinkedIn, SailThru, and many more.

2.Data Science: Data science is a new field that employs advanced techniques in statistics, machine learning, natural language processing, and computer science to achieve goals of finding meaningful information from huge amounts of data.

3.NewSQL: NewSQL is to describe highly-scalable, horizontally-distributed SQL systems.

4.Predictive Analytics: They are used to predict future events from historical data.

Reference
http://www.microsoft.com/en-us/news/Press/2013/Feb13/02-11BigDataRoundupPR.aspx
http://venturebeat.com/2013/02/22/big-data-is-dead-whats-next/

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