Learn how Spark facilitates the calculation of computationally-intensive statistics such as VaR via the Monte Carlo method.
Under reasonable circumstances, how much money can you expect to lose? The financial statistic value at risk (VaR) seeks to answer this question. Since its development on Wall Street soon after the stock market crash of 1987, VaR has been widely adopted across the financial services industry. Some organizations report the statistic to satisfy regulations,
Two of the most vibrant communities in the Apache Hadoop ecosystem are now working together to bring users a Hive-on-Spark option that combines the best elements of both.
(Editor’s note [April 12, 2016]: Hive-on-Spark is now GA/ready for production as of CDH 5.7.)
Apache Hive is a popular SQL interface for batch processing and ETL using Apache Hadoop. Until recently, MapReduce was the only execution engine in the Hadoop ecosystem,
Meet Sandy Ryza (@SandySifting), the newest member of Cloudera’s data science team. See Sandy present at Spark Summit 2014 (June 30-July 1 in San Francisco; register here for a 20% discount).
What is your definition of a “data scientist”?
To put it in boring terms, data scientists are people who find that the bulk of the work for testing their hypotheses lies in manipulating quantities of information –
Welcome to our ninth edition of “This Month in the Ecosystem,” a digest of highlights from May/early June 2014 (never intended to be comprehensive; for that, see the excellent Hadoop Weekly).
More good news!
- Hadoop Summit San Jose 2014 wrapped up. Every attendee will have a different lens on the experience, but for me, the main takeaway was the increasingly mainstream presence of the enterprise juggernaut called Apache Hadoop.
Spark 1.0 is its biggest release yet, with a list of new features for enterprise customers.
Congratulations to the Apache Spark community for today’s release of Spark 1.0, which includes contributions from more than 100 people (including Cloudera’s own Diana Carroll, Mark Grover, Ted Malaska, Sean Owen, Sandy Ryza, and Marcelo Vanzin). We think this release is an important milestone in the continuing rapid uptake of Spark by enterprises —