In these articles, read the pros and cons of choosing a data lake versus a data warehouse, learn how to manage the growing flood of data, and understand the basic principles and tools of modern BI.
- By Quint Turner
- August 11, 2016
Do you know what skills make different analytics practitioners more valuable to an employer? Here's advice on reaching the next level so you can compete for the most coveted jobs.
- By David Loshin
- August 11, 2016
Are you going on a summer road trip or just driving to work today? These maps use huge data sets to show commuting distance and direction, the perceived safety of city streets, and the density of traffic fatalities.
- By Lindsay Stares
- August 10, 2016
Today learn how to use big data for customer profiling and marketing, how to use data analytics with social media marketing, and what background goes into pursuing a career as a data scientist.
- By Quint Turner
- August 10, 2016
Do "Band-Aid" approaches always seem to become the permanent solution? You need to avoid shortcuts to ensure a strong foundation in your data architecture.
- By Wes Flores
- August 10, 2016
How do NoSQL databases distribute data in order to provide low-cost elastic scalability?
- By William McKnight
- August 9, 2016
In a free eight-week program, the Data Incubator takes Ph.D.s and trains them to be data scientists, placing students at companies including Yelp, Microsoft, The New York Times, Foursquare, Pfizer, and eBay.
- By Linda L. Briggs
- August 9, 2016
In today’s articles: how to protect your network from third-party devices, what defines an IoT platform, and how small businesses can benefit from BI.
- By Quint Turner
- August 9, 2016
It's cheaper than ever to host data processing workloads on IBM's zSeries mainframes. Now Rocket Software is touting the hitherto unthinkable: data virtualization for big iron.
- By Steve Swoyer
- August 8, 2016