The structured query language is a powerful tool for connecting to many database systems that store data in tables organized into rows and columns. It's often used on the backend of business websites ...

Read this SQL tutorial to learn when to use SELECT, JOIN, subselects and UNION to access multiple tables with a single statement. It’s sometimes difficult to know which SQL syntax to use when ...

Community driven content discussing all aspects of software development from DevOps to design patterns. The goal of Hibernate and JPA is to hide the complexity of SQL and relational databases from the ...

A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or cloud-hosted AI models without relying on massive general-purpose LLMs. I ...

I have written an application that takes in a fixed-width file (thanks in no small part to advice I recieved in a seperate thread) and then dissasembles each line, runs a fairly meaty SQL SELECT query ...

In SQL Server, the database can be stored in different files and filegroups. If your database is small (100 MB or less), you do not need to worry too much about files and filegroups. But if you have a ...

OK, I’ll admit it. I’m not a DBA, but that doesn’t mean I haven’t overseen databases and their performance. I was (and probably still am) the guy who installed a Microsoft SQL database by hitting Next ...

Need help choosing the best Python ORM for your projects? Here's what you need to know about SQLAlchemy, PonyORM, Django ORM, Peewee, SQLObject, and Tortoise ORM. When you want to work with a ...

InfluxData Inc. is the developer of InfluxDB, an open-source platform designed to retrieve and store time series data for monitoring, analysis, metrics and more. Recently, the company announced the ...

As proposed by business consultant and author Geoffrey Moore, "Without big data, you are blind and deaf in the middle of a freeway." Data is not only an asset these days in high-stakes business. It is ...

The world of enterprise data is evolving at an incredible pace, and businesses are grappling with increasingly complex data landscapes. This demands more from their database systems than ever before.