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.

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/
Yao-Te,
ReplyDeleteInteresting post. Thanks for sharing.
Fadel