Showing 11 – 20 of 26 posts found
Published • 3 min read
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.
Azure HDInsight, Uncategorized
Published • 3 min read
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.
Published • 4 min read
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, Uncategorized
Published • 2 min read
Azure HDInsight is now available in the Azure Preview Portal in addition to the existing Azure portal.
Published • 4 min read
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.
Published • 5 min read
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.
Published • 2 min read
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.
Published • 2 min read
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.
Published • 5 min read
Today, at the Strata+Hadoop World conference, we are pleased to announce the first Microsoft Azure managed service to be available on Linux, HDInsight.
Published • 1 min read
Today, we are excited to announce that the Script Action capability is generally available and fully supported for users to make customization through the cluster.