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Transitioning big data workloads to the cloud: Best practices from Unravel Data

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.” In this series, one of HDInsight’s ... continue reading

Get up to speed with Azure HDInsight: The comprehensive guide

Azure HDInsight is an easy, cost-effective, enterprise-grade service for open source analytics. With HDInsight, you get managed clusters for various Apache big data technologies, such as Spark, MapReduce, Kafka, Hive, HBase, Storm and ML Services backed by a 99.9% SLA ... continue reading
Creating a data hub for your analytics with PolyBase

Creating a data hub for your analytics with PolyBase

Data is the new currency of the digital world, and Microsoft is uniquely positioned to help businesses and consumers get the most out of their data assets. With the leading database in the world, SQL Server, and the rapidly growing ... continue reading
Harness the future with the ultimate hybrid platform for data and AI

Harness the future with the ultimate hybrid platform for data and AI

Today Im excited to give the Day 1 keynote at PASS Summit v.20, a gathering of our longtime community of SQL Server users and data professionals. PASS Summit is an amazing chance to see the faces of old and new ... continue reading
JSON in SQL Server – Use cases

JSON in SQL Server – Use cases

JSON support in SQL Server 2016+ and Azure SQL Database enables you to combine relational and NoSQL concepts and easily transform relational to semi-structured data and vice-versa. JSON is not a replacement for the exiting relational models, and there are ... continue reading
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Getting Started with #Azure Data Science Virtual Machine on Windows 2016 #DSVM #winserv #VSTS #DevOps

The Data Science Virtual Machine (DSVM) is a ‘Windows Server 2016 with Containers’ VM & includes popular tools for data exploration, analysis, modeling & development. Highlights: Microsoft R Server – Dev. Ed. (Scalable R) Anaconda Python SQL Server 2017 Dev ... continue reading
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Delivering AI with data: the next generation of Microsoft’s data platform

This post was authored by Joseph Sirosh, Corporate Vice President, Microsoft Data Group Leveraging intelligence out of the ever-increasing amounts of data can make the difference between being the next market disruptor or being relegated to the pages of history ... continue reading
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Hyper-V vs. KVM for OpenStack performance

During the development of Windows Server 2016 we spent a lot of time working on delivering the best core performance as a cloud platform. At the same time the Cloudbase team have spent a lot of time optimizing the performance ... continue reading