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Friday, March 17, 2017
Microsoft Brings New Capabilities to HDInsight and DocumentDB
Saturday, June 13, 2015
We Need Only Three Hadoops, And Maybe Three Systems
Enterprises like choices, they abhor vendor lock in, and they like the options that open source gives. But at the same time, too many choices fragments markets and doesn’t allow for the cultivation of larger vendors that can afford to take on the big problems. You need a balance between large enough to scale and so large as to be too overbearing, or sometimes, in the antitrust sense, to be abusive.
With the Hadoop Summit sponsored by Hortonworks going on this week and some tectonic changes in the systems market that have been going on for some months now, we are pondering how this all fits together given the current state of both Hadoop and the systems markets.
Read more http://www.theplatform.net/2015/06/11/we-need-only-three-hadoops-and-maybe-three-systems/
Sunday, May 26, 2013
How Vertica Was the Star of the Obama Campaign, and Other Revelations
The 2012 Obama re-election campaign has important implications for organizations that want to make better use of big data. The hype about its use of data is certainly justified, but a lesser-noticed aspect of the campaign ran against another kind of data hype we’ve all heard: the Silicon Valley hype around Hadoop that goes too far and claims an unreasonably large role for Hadoop. One of the most critical contributors to the Obama campaign’s success was the direct access it had to a massive database of voter data stored in Vertica.
Read more on http://citoresearch.com/data-science/how-vertica-was-star-obama-campaign-and-other-revelations
Friday, January 25, 2013
Hadoop + SQL Server + Excel = Big Data Analytics
Customers will need a modern data platform to evolve with the needs of the business and the data they are collecting. Big data has created a massive business opportunity for businesses around the world to find new, actionable insights from all the data they collect, whether structured or unstructured. Because at the end of the day, the biggest promise of Big Data is to drive smarter decisions from data. To do that you have to gain new insights from all types of data.
One of SQL Server 2012’s most significant differentiators to help enterprises handle large datasets from SQL Server 2008 is its compatibility with Hadoop. Hadoop allows users to process large amounts of both structured and unstructured data to quickly find insights on that data, and because Hadoop is open-source, it can provide these insights at a low cost.
Microsoft’s strategy seems to be to offer path of least resistance for it’s customers to adopting Big Data – by extending existing tools such as SQL Server and Office to work seamlessly with new data types and allowing companies to take advantage of their existing investments while making new ones.
Read more and related articles from here.