Cloudera Engineering Blog · Community Posts

Hands-on Hive-on-Spark in the AWS Cloud

Interested in Hive-on-Spark progress? This new AMI gives you a hands-on experience.

Nearly one year ago, the Apache Hadoop community began to embrace Apache Spark as a powerful batch-processing engine. Today, many organizations and projects are augmenting their Hadoop capabilities with Spark. As part of this shift, the Apache Hive community is working to add Spark as an execution engine for Hive. The Hive-on-Spark work is being tracked by HIVE-7292 which is one of the most popular JIRAs in the Hadoop ecosystem. Furthermore, three weeks ago, the Hive-on-Spark team offered the first demo of Hive on Spark.

Progress Report: Community Contributions to Parquet

Community contributions to Parquet are increasing in parallel with its adoption. Here are some of the highlights.

Apache Parquet (incubating), the open source, general-purpose columnar storage format for Apache Hadoop, was co-founded only 18 months ago by Cloudera and Twitter. Since that time, its rapid adoption by multiple platform vendors and communities has made it a de facto standard for this purpose.

This Month in the Ecosystem (November 2014)

Welcome to our 15th edition of “This Month in the Ecosystem,” a digest of highlights from November 2014 (never intended to be comprehensive; for that, see the excellent Hadoop Weekly).

November was busy, even accounting for the US Thanksgiving holiday:

Apache Hadoop 2.6 is Released

The Apache Hadoop community has voted to release Hadoop 2.6. Congrats to all contributors!

This new release contains a variety of improvements, particularly in the storage layer and in YARN. We’re particularly excited about the encryption-at-rest feature in HDFS!

Apache Hive on Apache Spark: The First Demo

The community effort to make Apache Spark an execution engine for Apache Hive is making solid progress.

Apache Spark is quickly becoming the programmatic successor to MapReduce for data processing on Apache Hadoop. Over the course of its short history, it has become one of the most popular projects in the Hadoop ecosystem, and is now supported by multiple industry vendors—ensuring its status as an emerging standard.

The Story of the Cloudera Engineering Hackathon (2014 Edition)

Cloudera’s culture is premised on innovation and teamwork, and there’s no better example of them in action than our internal hackathon.

Cloudera Engineering doubled-down on its “hackathon” tradition last week, with this year’s edition taking an around-the-clock approach thanks to the HQ building upgrade since the 2013 edition (just look at all that space!).

Where to Find Cloudera Tech Talks (Through End of 2014)

Find Cloudera tech talks in Seattle, Las Vegas, London, Madrid, Budapest, Barcelona, Washington DC, Toronto, and other cities through the end of 2014.

Below please find our regularly scheduled quarterly update about where to find tech talks by Cloudera employees—this time, for the remaining dates of 2014. 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).

This Month in the Ecosystem (October 2014)

Welcome to our 14th edition of “This Month in the Ecosystem,” a digest of highlights from October 2014 (never intended to be comprehensive; for that, see the excellent Hadoop Weekly).

Introducing Cloudera Labs: An Open Look into Cloudera Engineering R&D

Cloudera Labs contains ecosystem innovations that one day may bring developers more functionality or productivity in CDH.

Since its inception, one of the defining characteristics of Apache Hadoop has been its ability to evolve/reinvent and thrive at the same time. For example, two years ago, nobody could have predicted that the formative MapReduce engine, one of the cornerstones of “original” Hadoop, would be marginalized or even replaced. Yet today, that appears to be happening via Apache Spark, with Hadoop becoming the stronger for it. Similarly, we’ve seen other relatively new components, like Impala, Apache Parquet (incubating), and Apache Sentry (also incubating), become widely adopted in relatively short order.

This Month in the Ecosystem (September 2014)

Welcome to our 13th edition of “This Month in the Ecosystem,” a digest of highlights from September 2014 (never intended to be comprehensive; for that, see the excellent Hadoop Weekly).

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