Microsoft is continuously working to make Azure the best cloud platform for big data, including Apache Hadoop. In order to make this happen, Microsoft delivers a comprehensive set of solutions such as the Hadoop-based solution Azure HDInsight and managed data services from partners, including Hortonworks and Cloudera.
Cloudera is recognized as a leader in the Hadoop community, and Cloudera Enterprise has achieved Azure Certification. As a result of this certification, organizations are able to launch a Cloudera Enterprise cluster from the Azure Marketplace.
Microsoft’s partnership with Cloudera allows customers to use the Hadoop distribution of their choice while getting the cloud benefits of Azure. It is also a sign of the company’s continued commitment to make Hadoop more accessible to customers by supporting the ability to run big data workloads anywhere – on hosted VM’s and managed services in the public cloud, on-premise or in hybrid scenarios.
In this blog post, we provide various tutorials and resources about Cloudera on Azure. We will be updating this post with new information whenever possible.
Cloudera provides an enterprise-ready, open source distribution that includes Apache Hadoop and related projects. Cloudera Enterprise includes CDH, the world’s most popular open source Hadoop-based platform, as well as advanced system management and data management. This massively scalable platform unites storage with an array of powerful processing and analytics frameworks and adds enterprise-class management, data security, and governance. Cloudera Enterprise includes core elements of Hadoop (HDFS, MapReduce, YARN) as well as HBase, Impala, Solr, Spark and more.
Cloudera Enterprise can be deployed with a single click from Azure Marketplace, or from a Azure Resource Management template hosted on GitHub with additional level of control for customization.
Cloudera Express on Azure is the best and fastest way to start your Hadoop proof–of–concept. Some of its key benefits include:
Don’t miss: How to Run Cloudera Enterprise on Microsoft Azure webinar. It will be running live on 10 May 2016.
What you will learn:
Open source is the foundation for AI and, as AI workloads scale, developers need that foundation to be more secure, more predictable, and easier to build apps and agents.
How Microsoft uses AI agents and Drasi to keep open‑source documentation accurate and working.
Microsoft unveils the Agent Governance Toolkit to bring OS‑level security, trust, and compliance to autonomous AI agents.
This introductory post will focus on the core concepts of Drasi, and its major components such as Sources.
