Cloudera Engineering Blog · Hadoop Posts

New in CDH 5.1: HDFS Read Caching

Applications using HDFS, such as Impala, will be able to read data up to 59x faster thanks to this new feature.

Server memory capacity and bandwidth have increased dramatically over the last few years. Beefier servers make in-memory computation quite attractive, since a lot of interesting data sets can fit into cluster memory, and memory is orders of magnitude faster than disk.

Progress Report: Cloudera Community Forums After One Year

Cloudera Community forums are proving their value as an important contributor to a rich user experience.

It’s been almost exactly one year since the debut of the Cloudera Community forums. In addition to doing the birthday shout-out, I thought it would be interesting to bring you up to date about adoption and usage patterns.

New in Cloudera Manager 5.1: Direct Active Directory Integration for Kerberos Authentication

With this new release, setting up a separate MIT KDC for cluster authentication services is no longer necessary.

Kerberos (initially developed by MIT in the 1980s) has been adopted by every major component of the Apache Hadoop ecosystem. Consequently, Kerberos has become an integral part of the security infrastructure for the enterprise data hub (EDH).

Cloudera Enterprise 5.1 is Now Available

Cloudera Enterprise’s newest release contains important new security and performance features, and offers support for the latest innovations in the open source platform.

We’re pleased to announce the release of Cloudera Enterprise 5.1 (comprising CDH 5.1, Cloudera Manager 5.1, and Cloudera Navigator 2.0).

Jay Kreps, Apache Kafka Architect, Visits Cloudera

It was good to see Jay Kreps (@jaykreps), the LinkedIn engineer who is the tech lead for that company’s online data infrastructure, visit Cloudera Engineering yesterday to spread the good word about Apache Kafka.

Kafka, of course, was originally developed inside LinkedIn and entered the Apache Incubator in 2011. Today, it is being widely adopted as a pub/sub framework that works at massive scale (and which is commonly used to write to Apache Hadoop clusters, and even data warehouses).

The New Hadoop Application Architectures Book is Here!

There’s an important new addition coming to the Apache Hadoop book ecosystem. It’s now in early release!

We are very happy to announce that the new Apache Hadoop book we have been writing for O’Reilly Media, Hadoop Application Architectures, is now available as an early release! It contains the first two chapters and can be found in O’Reilly’s Catalog and via Safari.        

This Month in the Ecosystem (June 2014)

Welcome to our 10th edition of “This Month in the Ecosystem,” a digest of highlights from June 2014 (never intended to be comprehensive; for that, see the excellent Hadoop Weekly).

Pretty busy for early Summer:

Jeff Dean’s Talk at Cloudera

Google’s Jeff Dean — among the original architects of MapReduce, Bigtable, and Spanner — revealed some fascinating facts about Google’s internal environment at Cloudera HQ recently.

Earlier this week, we were pleased to welcome Google Senior Fellow Jeff Dean to Cloudera’s Palo Alto HQ to give an overview of some of his group’s current research. Jeff has a peerless pedigree in distributed computing circles, having been deeply involved in the design and implementation of Google’s original advertising serving system, MapReduce, Bigtable, Spanner, and a host of other projects.

Where to Find Cloudera Tech Talks (Through September 2014)

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).

How-to: Create an IntelliJ IDEA Project for Apache Hadoop

Prefer IntelliJ IDEA over Eclipse? We’ve got you covered: learn how to get ready to contribute to Apache Hadoop via an IntelliJ project.

It’s generally useful to have an IDE at your disposal when you’re developing and debugging code. When I first started working on HDFS, I used Eclipse, but I’ve recently switched to JetBrains’ IntelliJ IDEA (specifically, version 13.1 Community Edition).

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