Explaining Spark to Your CEO
There comes a time in the life of every important technology where the CEO gets interested and wants to know what the fuss is all about. That time has come for Spark.
There comes a time in the life of every important technology where the CEO gets interested and wants to know what the fuss is all about. That time has come for Spark.
Hadoop vendors are thrilled with the uptake of Hadoop by mainstream IT buyers, it won’t be good news for the businesses buying the technology unless more than just Hadoop crosses the chasm.
Wouldn’t it be great if everyone could find important insights from data, just like Hilary Mason and DJ Patil?
Despite the overwhelming importance of data to business, too little attention is paid to benchmarks that demonstrate which databases and architectures are fastest.
CITO Research managing editor Deb Cameron pointed out a data governance problem described in this Forbes.com article, Box Partners With Roambi To Attack The BI Market.
Machine learning is about foresight. It is a practical business and prediction tool.
Getting value from big data is everyone’s problem, even LOLCats.
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.
A first draft of a program for finding and making use of external data to improve business results.
Data scientists are needed to help turn big data into a richer model of the customer.
Everybody knows about IRS audits. Much less well understood are Oracle audits where the software behemoth comes into a company and – much as the IRS wields the proverbial fine-toothed comb to hunt for irregularities – Oracle uses its version of a fine-toothed comb to sift through a company’s software library and its licenses. Every piece of software is inspected, and so are the appropriate Oracle licenses and contracts.