It’s that time of the year when the Microsoft Azure Data engineering team is getting ready to participate at SQL Bits 2020. Excitement for this year’s show is everywhere, as SQL Bits provides us with a unique opportunity to learn, connect, and share with you, our SQL Server community.
Microsoft SQL Server 2019 Big Data Cluster enables intelligence over all your data and helps remove data silos by combining both structured and unstructured data across the entire data estate.
Many organizations seek to do more with their data than pump out dashboards and reports. Applying advanced analytical approaches such as machine learning is an essential arena of knowledge for any data professional.
The days when a database administrator (DBA) could specialize solely in a single database technology are rapidly ending. Today, we’re much more likely than ever before to be asked to bring together many types of data from diverse sources. Although specialization still has its place, having the knowledge and tools at our disposal to cross those boundaries makes us much more useful.
With the release of SQL Server 2019 on Linux, Microsoft introduced persistent memory (PMEM) support on Linux. This is an exciting development, as previous versions of SQL Server on Linux didn’t support PMEM. Let’s look at how to configure the PMEM for SQL Server on Linux. SQL Server 2016 introduced support for non-volatile DIMMs and an optimization called Tail of the Log Caching on NVDIMM.
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.
DevOps, the cloud, and new database technologies mean our jobs as database administrators (DBAs) are changing at an ever-faster pace. If you’re fascinated by data and all the things you can do with it, it’s a thrilling time to be in the business. Here are five of the skills we see as essential parts of the modern DBA’s toolkit.
Today we are announcing the November release of Azure Data Studio is now available. Download Azure Data Studio and review the release notes to get started. Please note: After downloading Azure Data Studio, say Yes to enabling the preview features so that you can use the extensions.
Today we’re introducing a new release for the mssql extension for Visual Studio Code which is now available! The mssql extension for Visual Studio Code is the official SQL Server extension that supports connections to SQL Server and rich editing experience for T-SQL in your favorite developer tool, Visual Studio Code. You can download the mssql extension and try out a tutorial to get started.
Today we’re announcing the October release of Azure Data Studio (formerly known as SQL Operations Studio) is now available. Download Azure Data Studio and review the release notes to get started. Please note: After downloading Azure Data Studio, say Yes to enabling preview features so that you can use the extensions.
Today we’re announcing the September release of Azure Data Studio (formerly known as SQL Operations Studio) is now available. Download Azure Data Studio and review the Release notes to get started. Please note: After downloading Azure Data Studio, click Yes to enabling preview features so that you can use the extensions.
Data platform