Unlock the secrets to reliable databases with primary and foreign keys! This beginner-friendly post uses engaging library metaphors and approachable SQL examples to show how keys keep your MySQL tables organized and your data relationships strong. Learn how to build, enforce, and practice these essential building blocks in your own projects.

This document provides a walk-through of the MySQL HeatWave Python SDK. It offers helpful tips on how to use the SDK to accelerate your application development culminating in three demonstrations of developing applications to solve real-world problems with, a Retrieval Augmented Generation (RAG) bot, an LLM-based agent with tool-calling, and a machine learning pipeline for fraud detection.

Big news for our public sector customers! Oracle's MySQL HeatWave has achieved Authorization to Operate (ATO) in both the OC2 (FedRAMP High / DISA IL4) and OC3 (DISA IL5) realms of the Oracle Cloud Infrastructure (OCI) Government Cloud. This is a massive milestone that unlocks powerful new capabilities for government agencies, contractors, and other public sector organizations. Let's break down what this means and why it's so important.

Explore the top 50 MySQL interview questions and answers fit both for newbies and experienced devs. Get prepared with real-world MySQL queries.

The post Top 50 MySQL Interview Questions and Answers for Every Skill Level  appeared first on Devart Blog.

This blog post explains the in-memory data cluster reloading improvements of MySQL HeatWave version 9.4.2

An overview of Library Feature in the MySQL HeatWave managed cloud service and elsewhere.

Bridging natural language processing with semi-structured data brings both opportunity and complexity.

MySQL HeatWave GenAI’s NL2SQL feature shows how natural language can simplify data interaction — even for JSON documents. Yet, because JSON embeds both data and metadata within a single column, LLMs may struggle without explicit schema cues.

By creating well-structured views that reveal JSON’s internal organization, you can transform unstructured data into a relational format the model understands — improving both query accuracy and overall usability.

This approach highlights how MySQL HeatWave continues to evolve as a powerful engine for intelligent, natural language–driven analytics.

The post Querying the Unstructured: Natural Language to SQL for JSON Data first appeared …

Discover how to tame big tables using LIMIT and OFFSET in MySQL! This post makes pagination easy for newcomers, using friendly library metaphors, step-by-step SQL examples, and practical tips to help you view your data one page at a time.

This blog post introduces the MySQL Autopilot Indexing feature.

We are excited to announce the release of Natural Language to SQL (NL2SQL) capability for MySQL (with the AI option) and MySQL HeatWave cloud service. Natural language interface is essential for modern data platforms, allowing users to explore information more quickly.