Cloudera Engineering Blog · Hadoop Posts
The community has voted to release Apache Hadoop 2.4.0.
Hadoop 2.4.0 includes myriad improvements to HDFS and MapReduce, including (but not limited to):
More good news for the ecosystem!
The GA release of Cloudera Enterprise 5 signifies the evolution of the platform from a mere Apache Hadoop distribution into an enterprise data hub.
We are thrilled to announce the GA release of Cloudera Enterprise 5 (comprising CDH 5.0 and Cloudera Manager 5.0).
The integration of Apache Sentry with Apache Solr helps Cloudera Search meet important security requirements.
As you have learned in previous blog posts, Cloudera Search brings the power of Apache Hadoop to a wide variety of business users via the ease and flexibility of full-text querying provided by Apache Solr. We have also done significant work to make Cloudera Search easy to add to an existing Hadoop cluster:
Cost-per-performance, not cost-per-capacity, turns out to be the better metric for evaluating the true value of SSDs.
In the Big Data ecosystem, solid-state drives (SSDs) are increasingly considered a viable, higher-performance alternative to rotational hard-disk drives (HDDs). However, few results from actual testing are available to the public.
February being a short month, the list is relatively short — but never confuse quantity with quality!
Understanding how checkpointing works in HDFS can make the difference between a healthy cluster or a failing one.
Checkpointing is an essential part of maintaining and persisting filesystem metadata in HDFS. It’s crucial for efficient NameNode recovery and restart, and is an important indicator of overall cluster health. However, checkpointing can also be a source of confusion for operators of Apache Hadoop clusters.
Hadoop 2.3.0 includes hundreds of new fixes and features, but none more important than HDFS caching.
The Apache Hadoop community has voted to release Hadoop 2.3.0, which includes (among many other things):
Integrating Hue with LDAP can help make your secure Hadoop apps as widely consumed as possible.
Hue, the open source Web UI that makes Apache Hadoop easier to use, easily integrates with your corporation’s existing identity management systems and provides authentication mechanisms for SSO providers. So, by changing a few configuration parameters, your employees can start analyzing Big Data in their own browsers under an existing security policy.
Thanks to the improvements described here, CDH 5 will ship with a version of MapReduce 2 that is just as fast (or faster) than MapReduce 1.
Performance fixes are tiny, easy, and boring, once you know what the problem is. The hard work is in putting your finger on that problem: narrowing, drilling down, and measuring, measuring, measuring.