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Monitoring on Azure HDInsight Part 1: An Overview

Azure HDInsight offers several ways to monitor your Hadoop, Spark, or Kafka clusters. Monitoring on HDInsight can be broken down into three main categories: Cluster health and availability Resource utilization and performance Job status and logs Two main monitoring tools ... continue reading
Azure Data Studio – Setting up your environment

Azure Data Studio – Setting up your environment

This blog entry comes from Buck Woody, who recently rejoined the SQL Server team from the Machine Learning and AI team. For those of you who havent met me or read any of my books or blog entries, its great ... continue reading

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
Introducing Microsoft SQL Server 2019 Big Data Clusters

Introducing Microsoft SQL Server 2019 Big Data Clusters

Yesterday at the Microsoft Ignite conference, we announced that SQL Server 2019 is now in preview and that SQL Server 2019 will include Apache Spark and Hadoop Distributed File System (HDFS) for scalable compute and storage. This new architecture that ... 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