Learn 5 reasons why big data projects belong in the cloud, how many people are applying to be data scientists, and why enterprises are hiring data science teams.
- By Quint Turner
- May 13, 2016
Graph database technology gives us a way to clarify the connections between and among data points, facts, analytics, and other synthetic objects. As more enterprises intend to relate data across disparate data models, interest in graphing technology should rise.
- By Steve Swoyer
- May 13, 2016
Although many are moving toward broader adoption of big data for enterprise use, barriers and concerns remain. Is Hadoop part of your enterprise’s plan for modernization?
- By David Loshin
- May 12, 2016
The amount of data coming into enterprises today has many uses. Learn how to 'industrialize' your data analytics, personalize your customers’ experience, or improve your employee training program with big data analytics.
- By Quint Turner
- May 11, 2016
There's still a teeming market for best-of-breed data-source and application connectivity software. Business intelligence (BI) and analytics use cases, which emphasize ODBC and JDBC, are as hot as ever -- but so are RESTful APIs.
- By Steve Swoyer
- May 11, 2016
Big data engineer will be among the hottest jobs in 2016, with starting salary growth of almost 9 percent. Wait, what's a big data engineer?
- By Steve Swoyer
- May 10, 2016
In today’s digest, learn to handle the flood of unstructured data, appear nurturing rather than creepy when using big data, and check the security and governance of big data.
- By Quint Turner
- May 6, 2016
A recent market survey highlights how much the data warehousing market -- and what's meant by the term "data warehouse" -- has changed.
- By Steve Swoyer
- May 6, 2016