Build an intelligent analytics platform with SQL Server 2019 Big Data Clusters
In the most recent releases, SQL Server went beyond relational data and enabled support for graph data, R, and Python machine learning, while making SQL Server available on Linux and containers in addition to Windows. At the same time, organizations ... continue reading
State of the SQL Server tools
This week we're announcing the general availability of SQL Server 2019, a significant milestone for Azure Data and for SQL Server customers. This presents a good moment to give an update on the state of tooling for SQL Server.Since SQL ... continue reading
How to prepare data using wrangling data flows in Azure Data Factory
Gaurav Malhotra joins Scott Hanselman to show how wrangling data flows in Azure Data Factory empower you with a code-free, serverless environment that simplifies data preparation in the cloud and scales to any data size with no infrastructure management required ... continue reading
Unify your data lakes with HDFS tiering in SQL Server Big Data Clusters
As the volume and variety of data has risen, it has become more common to store the data in disparate and diverse data sources. A challenge many organizations face today is how to gain insights from all of their data ... continue reading
New high availability and disaster recovery benefits for SQL Server
Business continuity is a key requirement for planning, designing, and implementing any business-critical system. When you bring data into the mix, business continuity becomes mandatory. It’s an insurance policy that one hopes they never have to make a claim against ... continue reading
How to stream big data with Data Accelerator for Apache Spark
Geoff Staneff joins Donovan Brown to show how Data Accelerator for Apache Spark simplifies everything from onboarding to streaming of big data. It offers a rich, easy-to-use experience for creating, editing, and managing Apache Spark jobs on Azure HDInsight while ... continue reading
How to use Jupyter Notebook and Apache Spark in Azure Cosmos DB
Kirill Gavrylyuk joins Scott Hanselman to show how to run Jupyter Notebook and Apache Spark in Azure Cosmos DB. Now you can use the interactive experience of Jupyter Notebook and analytics powered by Apache Spark with your operational data. Run ... continue reading
Monitoring on Azure HDInsight part 4: Workload metrics and logs
This is the fourth blog post in a four-part series on monitoring on Azure HDInsight. Monitoring on Azure HDInsight Part 1: An Overview discusses the three main monitoring categories: cluster health and availability, resource utilization and performance, and job status ... continue reading
Visual Studio Code: Develop PySpark jobs for SQL Server 2019 Big Data Clusters
Today were announcing the support in Visual Studio Code for SQL Server 2019 Big Data Clusters PySpark development and query submission. It provides complementary capabilities to Azure Data Studio for data engineers to author and productionize PySpark jobs after data ... continue reading
Visual Studio Code: Develop PySpark jobs for SQL Server 2019 Big Data Clusters
Today were announcing the support in Visual Studio Code for SQL Server 2019 Big Data Clusters PySpark development and query submission. It provides complementary capabilities to Azure Data Studio for data engineers to author and productionize PySpark jobs after data ... continue reading
Hybrid Cloud Building Blocks
Hyper-converged infrastructure with the features of Windows Server 2016 Datacenter, create a robust set of cloud building blocks.
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