Cloudera Engineering Blog
Big Data best practices, how-to's, and internals from Cloudera Engineering and the community
Providing Hadoop-as-a-Service to your internal users can be a major operational advantage.
Cloudera Director (free to download and use) is designed for easy, on-demand provisioning of Apache Hadoop clusters in Amazon Web Services (AWS) environments, with support for other cloud environments in the works. It allows for provisioning clusters in accordance with the Cloudera AWS Reference Architecture.
Cloudera recently announced formal support for Apache Kafka. This simple use case illustrates how to make web log analysis, powered in part by Kafka, one of your first steps in a pervasive analytics journey.
If you are not looking at your company’s operational logs, then you are at a competitive disadvantage in your industry. Web server logs, application logs, and system logs are all valuable sources of operational intelligence, uncovering potential revenue opportunities and helping drive down the bottom line. Whether your firm is an advertising agency that analyzes clickstream logs for customer insight, or you are responsible for protecting the firm’s information assets by preventing cyber-security threats, you should strive to get the most value from your data as soon as possible.
A Hive-on-Spark beta is now available via CDH parcel. Give it a try!
The Hive-on-Spark project (HIVE-7292) is one of the most watched projects in Apache Hive history. It has attracted developers from across the ecosystem, including from organizations such as Intel, MapR, IBM, and Cloudera, and gained critical help from the Spark community.
The Cloudera HBase Team are proud to be members of Apache HBase’s model community and are currently AWOL, busy celebrating the release of the milestone Apache HBase 1.0. The following, from release manager Enis Soztutar, was published today in the ASF’s blog.
Cloudera Director 1.1 introduces new features and improvements that provide more options for creating and managing cloud deployments of Apache Hadoop. Here are details about how they work.
Cloudera Director, which was released in October of 2014, delivers production-ready, self-service interaction with Apache Hadoop clusters in cloud environments. You can find background information about Cloudera Director’s purpose and fundamental features in our earlier introductory blog post and technical overview blog post.
With Kafka now formally integrated with, and supported as part of, Cloudera Enterprise, what’s the best way to deploy and configure it?
Earlier today, Cloudera announced that, following an incubation period in Cloudera Labs, Apache Kafka is now fully integrated into Cloudera’s Big Data platform, Cloudera Enterprise (CDH + Cloudera Manager). Our customers have expressed strong interest in Kafka, and some are already running Kafka in production.
Having a good grasp of HDFS recovery processes is important when running or moving toward production-ready Apache Hadoop.
An important design requirement of HDFS is to ensure continuous and correct operations to support production deployments. One particularly complex area is ensuring correctness of writes to HDFS in the presence of network and node failures, where the lease recovery, block recovery, and pipeline recovery processes come into play. Understanding when and why these recovery processes are called, along with what they do, can help users as well as developers understand the machinations of their HDFS cluster.
Cloudera customers can now install, launch, and monitor CDAP directly from Cloudera Manager. This post from Nitin Motgi, Cask CTO, explains how.
Today, Cloudera and Cask are very happy to introduce the integration of Cloudera’s enterprise data hub (EDH) with the Cask Data Application Platform (CDAP). CDAP is an integrated platform for developers and organizations to build, deploy, and manage data applications on Apache Hadoop. This initial integration will enable CDAP to be installed, configured, and managed from within Cloudera Manager, a component of Cloudera Enterprise. Furthermore, it will simplify data ingestion for a variety of data sources, as well as enable interactive queries via Impala. Starting today, you can download and install CDAP directly from Cloudera’s downloads page.
An improved upgrade wizard in Cloudera Manager 5.3 makes it easy to upgrade CDH on your clusters.
Upgrades can be hard, and any downtime to mission-critical workloads can have a direct impact on revenue. Upgrading the software that powers these workloads can often be an overwhelming and uncertain task that can create unpredictable issues. Apache Hadoop can be especially complex as it consists of dozens of components running across multiple machines. That’s why an enterprise-grade administration tool is necessary for running Hadoop in production, and is especially important when taking the upgrade plunge.
Thanks to Călin-Andrei Burloiu, Big Data Engineer at antivirus company Avira, and Radu Pastia, Senior Software Developer in the Big Data Team at Orange, for the guest post below about the Couchdoop connector for bringing Couchbase data into Hadoop.
Couchdoop is a Couchbase connector for Apache Hadoop, developed by Avira on CDH, that allows for easy, parallel data transfer between Couchbase and Hadoop storage engines. It includes a command-line tool, for simple tasks and prototyping, as well as a MapReduce library, for those who want to use Couchdoop directly in MapReduce jobs. Couchdoop works natively with CDH 5.x.
Couchdoop can help you: