IBM’s Big Data Analytics Empire
When you think of Big Data Analytics, you might think of startups. Think again. IBM has the space covered, perhaps better than any other company.
Veteran data geek Andrew Brust covers Big Data technologies including Hadoop, NoSQL, Data Warehousing, BI and Predictive Analytics.
Andrew J. Brust has worked in the software industry for 25 years as a developer, consultant, entrepreneur and CTO, specializing in application development, databases and business intelligence technology.
When you think of Big Data Analytics, you might think of startups. Think again. IBM has the space covered, perhaps better than any other company.
Could Data Science be the tech skill that puts India in a position of unqualified leadership?
A Big Data analytics company CEO exposes some common, and potentially harmful, misunderstandings about Big Data.
Take a mega-vendor, give it a powerful in-memory Big Data product, combine with equal parts business software, and solutions that are (gasp!) enterprise-ready may result.
Technology conferences, both announced and taking place, are showcasing Big Data in a big way this week.
During a single week in usually hum-drum July, a slew of companies had a Big Data beach party bash. Big Data, BI, Database and Cloud companies went crazy with partnership announcements and a new version of an in-memory database was born.
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Microsoft now has a mobile BI story. Excel 2013, PowerPivot and a new Excel-based version of Power View make it happen.
Getting over the gee-whiz factor of Big Data can be tough. Enumerating important Big Data sources and technologies can give us a good start in moving the discussion forward.