Cloudera Developer Blog · Community Posts
Pretty busy for early Summer:
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.
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, and Hive queries could only run on MapReduce. But today, alternative execution engines to MapReduce are available — such as Apache Spark and Apache Tez (incubating).
Find Cloudera tech talks in Texas, Oregon, Washington DC, Illinois, Georgia, Japan, and across the SF Bay Area during the next calendar quarter.
Below please find our regularly scheduled quarterly update about where to find tech talks by Cloudera employees – this time, for the third calendar quarter of 2014 (July through September; traditionally, the least active quarter of the year). Note that this list will be continually curated during the period; complete logistical information may not be available yet. And remember, many of these talks are in “free” venues (no cost of entry).
More good news!
HBaseCon 2014 is in the books. Thanks to all attendees, speakers, and sponsors!
The HBaseCon 2014 “Case Studies” track surfaces some of the most interesting (and diverse) use cases in the HBase ecosystem — and in the world of NoSQL overall — today.
The HBaseCon 2014 (May 5, 2014 in San Francisco) is not just about internals and best practices — it’s also a place to explore use cases that you not have even considered before.
The HBaseCon 2014 “Ecosystem” track offers a cross-section view of the most interesting projects emerging on top of, or alongside, HBase.
More good news for the ecosystem!
The HBaseCon 2014 “Features & Internals” track covers the newest developments in Apache HBase functionality.
HBaseCon 2014 “Operations” track reveals best practices used by some of the world’s largest production-cluster operators.