data warehouse appliance
January 30, 2013
Founded in 1879, Fletcher Allen Health Care is a healthcare organization that provides advanced-care and hospital services to a majority of Vermont. Headquartered in Burlington, the organization has four campuses and several care sites and clinics.
January 24, 2013
The story behind how IBM Netezza data warehouse appliance became IBM PureData System for Analytics, and the new performance benchmarks it set along the way.
November 19, 2012
For 27 years, at a site bordered to its south by the bank of the Moskva River, a deep hole and sparse foundations spoke of a country whose resources proved insufficient fuel for its leader’s vanity.
October 22, 2012
Be sure to access this week's featured webcast - “The Simple Appliance for Serious Analytics.” - on IBM’s Big Data Virtual Event Center.
September 6, 2012
According to several research firms, 70% of traditional data warehousing/Business Intelligence projects were considered failures.
August 7, 2012
James Kobielus recaps last week's quick-hit ponderings, covering meaty metadata, proofs of concept, the role of behavioral analytics in recommendation engines, decision scientists, and the speed of thought.
July 20, 2012
To understand some challenges facing the communications industry and how our customers create value by analyzing large volumes of data, I spoke with Raquel Katigbak - an IBM business solutions executive specializing in the industry.
June 22, 2012
Here are the quick-hit ponderings that I posted on the IBM Netezza Facebook page this past week. I went deeper on the themes of experience optimization, Hadoop, big data crowdsourcing, and DW appliance proofs of concept. And I opened up a fresh topic: big data's optimal deployment role. I also attended and spoke at the Hadoop Summit last week, which stimulated many thoughts you'll find reflected in this coming week's quick-hits:
June 18, 2012
Here are the quick-hit ponderings that I posted on the IBM Netezza Facebook page this past week. I went deeper on the themes of information glut, DW appliance POCs, handheld petabytes, and online recommendation engines. I started up a new thread on crowdsourcing in big data modeling, development, and exploration. I posted most of these while attending and presenting at the Hadoop Summit (more on that in next week's quick-hits etc.):