We’re excited to reveal our latest effort towards simplifying and accelerating the test data management process: AI Synthetic Data Generation, part of Redgate Test Data Manager. Officially introduced in a session at the recent PASS Data Community Summit, the capability uses machine learning to rapidly generate realistic yet entirely synthetic data – all while maintaining data integrity and with data privacy built-in as priority.

Cloud-based database hosting seems to be an extremely viable solution for modern apps. After all, the entire management-and-maintenance thing is relegated to the hosting provider, scalability is not an issue, and you can free up lots of precious time to focus on actual product development as you see fit.

You need robust, stable, up-to-date Delphi programming software, libraries, and tools to make your development journey smoother. Without these, you’ll struggle to integrate your native apps with cloud services, design modern UI frameworks, and work with the latest databases. Besides, their wide range of pre-built functionalities saves you a lot of time.

Nov 6th, 2024: Today Canonical announced the release of Charmed MySQL, an enterprise solution that helps you secure and automate the deployment, maintenance and upgrades of your MySQL databases across private and public clouds. MySQL is one of the world’s most popular databases. MySQL’s simple deployment model and ease of use make it the default choice for many developers. MySQL is the M in the popular LAMP architecture that powers most web applications today.

Properly configured and easily locatable SQL Server backups are critical to maintaining data integrity and business continuity. However, missing or mislabeled backup files can complicate recovery processes, potentially resulting in data loss or extended downtime during restoration efforts. In this article, we’ll review why the backup process may fail, provide options for locating missing backups, and suggest several ways to address backup history challenges proactively.

In this article, you’ll learn what SQL UPDATE is used for. Also, you’ll explore different ways to update columns in a table with the help of the statement.

Many modern applications rely on MongoDB and MongoDB Atlas to manage growing data volumes and to provide flexible schema and data structures. As organizations adopt these and other NoSQL databases, effective monitoring and optimization become critical, especially in distributed environments.

In database management, efficient limiting of query results is crucial for optimizing performance and ensuring the retrieval of relevant data. Many SQL database systems, such as MySQL and PostgreSQL, utilize the LIMIT clause to specify the number of records a query returns. However, SQL Server doesn’t support the LIMIT clause, opting instead for alternatives like TOP, OFFSET-FETCH, and SET ROWCOUNT.

Database monitoring is crucial for numerous reasons, an example being that monitoring database performance metrics such as query execution times, throughput, and resource utilization helps highlight performance bottlenecks. By conducting this, administrators can enhance database configurations, queries, and indexing by examining these metrics to optimize overall performance.