Born out of Microsoft’s SQL Server Big Data Clusters investments, the Apache Spark Connector for SQL Server and Azure SQL is a high-performance connector that enables you to use transactional data in ...

Millions of users work with SQL to keep the gears of their business turning. In an era marked by relentless digital transformation, the proliferation of AI workloads, and tightening regulatory demands ...

With the SQL Editor in DBeaver, you can write and execute multiple SQL scripts within a single database connection, save them as files, and reuse them later. Note: SQL Editor for a connection is ...

This guide provides instructions on how to set up and use SQL Server with DBeaver. Before you start, you must create a connection in DBeaver and select SQL Server. If you have not done this, please ...

mssql-python is a Python driver for Microsoft SQL Server and the Azure SQL family of databases. It leverages Direct Database Connectivity (DDBC) that enables direct connections to SQL Server without ...

DBeaver provides the functionality to automatically generate SQL scripts, streamlining your SQL scripting process. This feature is accessible from two main areas within the application: the Data ...

Who are these scripts for? You need to troubleshoot performance problems with SQL Server, and you need to do it now. You don't have time to track down a bunch of DMVs, figure out Extended Events, ...

Welcome to the MSSQL-Django 3rd party backend project! mssql-django is a fork of django-mssql-backend. This project provides an enterprise database connectivity option for the Django Web Framework, ...

Abstract: Point-supervised Temporal Action Localization (PS-TAL) detects temporal intervals of actions in untrimmed videos with a label-efficient paradigm. However, most existing methods fail to learn ...