Thursday, January 31, 2019
Migrating on-premises Apache Hadoop® and Spark workloads to the cloud remains a key priority for many organizations. In my last post, I shared “Tips and tricks for migrating on-premises Hadoop infrastructure to Azure HDInsight.”
Monday, December 10, 2018
Today we are sharing an update to the Azure HDInsight integration with Azure Data Lake Storage Gen 2. This integration will enable HDInsight customers to drive analytics from the data stored in Azure Data Lake Storage Gen 2 using popular open source frameworks such as Apache Spark, Hive, MapReduce, Kafka, Storm, and HBase in a secure manner.
Thursday, November 8, 2018
Today, we are excited to share our tips and tricks series on how to migrate on-premises Hadoop infrastructure to Microsoft Azure HDInsight.
Tuesday, November 6, 2018
We are excited to announce the general availability of the private endpoint in HDInsight clusters deployed in a virtual network.
Thursday, August 16, 2018
Fast Interactive BI, data security and end user adoption are three critical challenges for successful big data analytics implementations. Without right architecture and tools, many big data and analytics projects fail to catch on with common BI users and enterprise security architects.
Thursday, August 16, 2018
The HDInsight team is excited to announce Apache Zeppelin Support for Apache Phoenix
Tuesday, August 7, 2018
Customers use HDInsight Interactive Query (also called Hive LLAP, or Low Latency Analytical Processing) to query data stored in Azure storage & Azure Data Lake Storage in super-fast manner.
Monday, July 23, 2018
Azure HDInsight is Microsoft’s premium managed offering for running open source workloads on Azure. Today, we are excited to announce several new capabilities across a wide range of OSS frameworks.
Azure HDInsight powers some of the top customer’s mission critical applications ranging in a wide variety of sectors including, manufacturing, retail education, nonprofit, government, healthcare, media, banking, telecommunication, insurance and many more industries ranging in use cases from ETL to Data Warehousing, from Machine Learning to IoT and many more.
Thursday, June 28, 2018
On June 27, 2018 we announced the preview of Azure Data Lake Storage Gen2 the only data lake designed specifically for enterprises to run large scale analytics workloads in the cloud. Azure Data Lake Storage Gen2 takes core capabilities from Azure Data Lake Storage Gen1 such as a Hadoop compatible file system, Azure Active Directory and POSIX based ACLs and integrates them into Azure Blob Storage.
Monday, June 18, 2018
Household names such as Adobe, Jet, ASOS, Schneider Electric, and Milliman are amongst thousands of enterprises that are powering their Big Data Analytics using Azure HDInsight.