- October 09, 2014
TechTarget's 2014 IT Salary and Careers Survey shows that the pay of BI and big data respondents varies widely -- and that many aren't cashing in with big raises.
- September 25, 2014
Let’s meet in New York, complements of Cisco Information Server, NuoDB, Strata, and Waterline Data. The latest McKinsey Quarterly, celebrating its 50th anniversary, suggests we need a significantly ...
- September 18, 2014
Doing big data governance can save you from drowning in the Data Lake. How do you design and build a lake? You don’t. That’s nature’s job. So, how do you design and build a reservoir? ...
- September 11, 2014
With Cisco’s Data Virtualization Day, where I’m a panelist along with Rick van der Lans, coming up fast on 1 Oct in New York, it’s a good moment to revisit the topic. Data virtualization has come ...
- September 03, 2014
Reactions were mixed when Jawbone dropped published its data on how the California earthquake affected people's sleep. SAS also made news, announcing better integration with YARN.
Sponsored by Intel - Businesses are excited about artificial intelligence (AI) and the benefits it offers, but like so many new technologies, that potential can be wasted if you don’t know where to begin the journey to production-ready AI. See More
Sponsored by Intel - The cloud is a natural fit for CIOs that wish to evaluate artificial intelligence (AI) because it lends itself to proof of concept (POC) and experimentation without the need for buying hardware that might ultimately not be required. See More
Sponsored by Intel - Artificial intelligence (AI) and machine learning are generating interest from IT leaders eager to discover how the technologies can help their business meet the constant demands of driving down costs, achieving growth, deriving insights from data, making decisions faster and improving efficiency. See More
Sponsored by Intel - Hyperconverged infrastructure promises to make organisations more agile and cost-effective, with new storage technologies replacing legacy systems within a high-performance software-defined IT architecture. See More
- August 18, 2014
Datameer demonstrates Hadoop-based data mart. Stefan Groschupf, CEO of @Datameer (from the German Sea of Data), has a great way with one-liners. At the #BBBT last Friday, he suggested that doing ...
- August 06, 2014
At the 2014 TDWI Executive Summit in Boston, consultant David Linthicum explained the importance of a well-planned cloud architecture for data analytics applications and offered tips on avoiding common cloud deployment mistakes.
- August 06, 2014
Cisco’s acquisition of Composite Software begins to bear fruit. Last Friday, the Cisco / Composite crowd turned up at the #BBBT. And I do mean crowd; seven participants from Cisco were present, ...
- July 22, 2014
Data management is back on the agenda, finally with a big data flavor. I’d like to think that Teradata was driven by my blog of 10 July, “So, how do you eat a Hadoop Elephant?” in the acquisitions ...
- July 17, 2014
GraphLab releases new analytics platform to take machine learning techniques to enterprise scale.
- July 17, 2014
As the big data market matures, the focus shifts from the new data itself to its use in concert with traditional operational business data. For the business analyst, big data can be very seductive. ...
- July 16, 2014
The Spark Summit recently wrapped and the big data framework continues to grow in prominence. In this edition of Talking Data, Ed Burns and Jack Vaughan recap the conference and answer some key questions.
- July 15, 2014
Consultant Rick van der Lans contends that data warehouses are inherently logical and don't need to be qualified as such. What really matters, he says, is that they present an integrated view of enterprise data, no matter where it's stored.
- July 10, 2014
With MapR’s recent announcement of $110 million in funding, following on from Hortonwork’s $100 million and Cloudera’s $900 million, both in March, debate is rife about their different approaches ...
- July 07, 2014
Spark has been getting a lot of attention lately, but is the big data framework ready for enterprise use?