To help you use the Azure Data Lake as productively as possible, we will have a six-part blogging series on different aspects of the Azure Data Lake over the next few days. This is the second blog in the series giving you the details of U-SQL, the new language we introduced for Azure Data Lake Analytics.
As we get ready for SQL PASS Summit 2015, the world’s largest gathering of SQL Server and BI professionals, we’re excited to share that Azure Data Lake Analytics and Azure Data Lake Store are now in Public Preview.
Yesterday, we unveiled our full vision of Microsoft’s Azure Data Lake. Our goal is to make big data technology simpler and more accessible to the greatest number of people possible.
As we get ready for AzureCon and to join the thousands of big data enthusiasts at Stata + Hadoop World in NYC this week, we’re excited to share a new and expanded Azure Data Lake that makes big data more accessible.
Azure HDInsight is now available in the Azure Preview Portal in addition to the existing Azure portal.
Today at the Microsoft Worldwide Partner Conference, we are announcing a new partner program for Hadoop independent software vendors (ISVs) to expand their offerings on the Microsoft Azure cloud.
Today, we're pleased to announce the public preview availability of Apache Spark for Azure HDInsight. This post will give you the ins and outs of this new offering.
Today at Build, we announced the Azure Data Lake, Microsoft’s hyperscale repository for big data analytic workloads in the cloud. This offering is built for the cloud, compatible with HDFS, and has unbounded scale with massive throughput and enterprise-grade capabilities.
On Wednesday at the Strata+Hadop World conference, we announced Apache Storm becoming generally available. This post will give you the ins and outs of this new offering.
Yesterday, at the Strata+Hadop World conference, we announced the first Microsoft Azure managed service, HDInsight to be available on Linux. This post will give you the ins and outs of this new offering.