SQL Server Big Data Clusters (BDC) is a capability brought to market as part of the SQL Server 2019 release. Big Data Clusters extends SQL Server’s analytical capabilities beyond in-database processing of transactional and analytical workloads by uniting the SQL engine with Apache Spark and Apache Hadoop to create a single, secure, and unified data Read more
SQL Server Big Data Clusters (BDC) is a capability brought to market as part of the SQL Server 2019 release. BDC extends SQL Server’s analytical capabilities beyond in-database processing of transactional and analytical workloads by uniting the SQL engine with Apache Spark and Apache Hadoop to create a single, secure, and unified data platform. BDC Read more
SQL Server Big Data Clusters is a new capability brought to market as part of the SQL Server 2019 release. Read more
SQL Server Big Data Clusters (BDC) is a new capability brought to market as part of the SQL Server 2019 release. BDC extends SQL Server’s analytical capabilities beyond in-database processing of transactional and analytical workloads by uniting the SQL engine with Apache Spark and Apache Hadoop to create a single, secure, and unified data platform. Read more
SQL Server 2019 Big Data Clusters is a scale-out, data virtualization platform built on top of the Kubernetes container platform. This ensures a predictable, fast, and elastically scalable deployment, regardless of where it’s deployed. In this blog post, we’ll explain how to deploy SQL Server 2019 Big Data Clusters to Kubernetes. First, the tools Deploying Read more
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 are challenged with the amount of data stored in different formats, in silos, and the Read more
As you saw from our launch announcement earlier today, over a year ago at Microsoft Ignite we announced our first preview of SQL Server 2019 and today our latest release is now generally available. You have told us that in today’s demanding world of massive data, wide variety of data sources, and expectations of near Read more
Today we’re 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 scientist’s data explore and experimentation. The Visual Studio Code Apache Spark and Hive extension enables Read more
In continuation with our announcement of SQL Server 2019 release candidate last week, we’re announcing that the release candidate refresh for SQL Server 2019 is now available to download. The release candidate now includes bits for Big Data Clusters in SQL Server 2019 in this refresh. Back in July, we announced the preview of Big Read more
We’re excited to announce the monthly release of SQL Server 2019 community technology preview (CTP) 3.2. With this release of SQL Server 2019 community technology preview 3.2, we are announcing the preview of Big Data Clusters for SQL Server 2019. Big Data Clusters for SQL Server enables big data analytics within SQL Server. It brings Read more
Once again, SQL Server 2017 has led the pack with three new TPC benchmarks published in April 2019, ranking SQL Server 2017 as the fastest database for online transaction processing (OLTP) and data warehouse (DW) workloads on Windows and Linux. Together with our partners, SQL Server continues to innovate with high-performing, enterprise-ready solutions that deliver Read more
Businesses today are faced with the challenge of staying profitable and investing in future innovations. Speed and flexibility are the name of the game, and effective data-scaling techniques are highly sought after. Yet exploding data volumes, diverse data types, and numerous database management systems make it harder than ever for data professionals to consolidate data Read more
