In 2026, entry-level and transition roles often expect more than passive course completion. Employers want to see that you can write queries that answer business questions, work with browser logic, ...

The purpose of the Text-to-SQL task is to bridge the gap between natural language and SQL queries. Current approaches mainly rely on large language models (LLMs), but employing them for Text-to-SQL ha ...

Data work in 2026 asks for more than chart building. Professionals are expected to clean data, query databases, explain ...

With JSON now the default format for moving data between clients and servers, SQL Server adds JSON support to make it easier to get your data out of the database and down to the client. SQL Server ...

Microsoft has found a new use for natural language processing capabilities in machine learning large language models (LLMs): SQL queries. The company has set up a sandbox for developers and data pros ...

The world of the data professionals and DBAs is swirling with threats and risks, and those dangers are on the rise. You’re probably accustomed to using longstanding database fea­tures to secure your ...

A common SQL habit is to use SELECT * on a query, because it’s tedious to list all the columns you need. Plus, sometimes those columns may change over time, so why not just do things the easy way? But ...

Azure SQL Query Store now captures read-only queries, expanding performance visibility beyond transactional workloads DBAs can analyze execution plans and runtime statistics for primary and read-only ...

SQL has dominated data querying for decades. Newer query languages offer more elegance, simplicity, and flexibility for modern use cases. For the last three decades, databases and Structured Query ...

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 ...