HeatWave MySQL Database Audit brings powerful enterprise-grade auditing capabilities to the cloud, allowing organizations to monitor and track database activity for security, compliance, and performance optimization. With features like customizable filters, real-time monitoring, minimal overhead, and seamless integration with MySQL tools, it enables administrators to log critical operations, detect threats, and maintain detailed records for regulatory requirements. The audit system is easy to set up, supports granular activity tracking, and provides actionable insights directly through the SQL interface.

The post HeatWave MySQL Database Audit first appeared on dasini.net - Diary of a MySQL expert.

Efficiently loading CSV data into your MySQL environment is a crucial step for many analytical workloads, especially when dealing with the substantial datasets common in today's data-driven world. Both MySQL Shell's parallel import utility and HeatWave's Auto Parallel Load feature offer robust and effective solutions, each catering to slightly different needs and environments.

MySQL Shell's util.importTable provides a flexible and powerful way to import data from various sources, including local disks and OCI Object Storage, into your standard MySQL tables. It's a developer-friendly tool that offers granular control over the import process.

For those leveraging the analytical power of MySQL HeatWave, the sys.heatwave_load stored procedure, particularly with its Auto Parallel Load capabilities, simplifies the often complex task of getting data into the in-memory columnar store.

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During the last MySQL & HeatWave Summit, Wim Coekaerts announced that a new optimizer is available and is already enabled in MySQL HeatWave. Let’s have a quick look at it and how to use it. The first step is to verify that Hypergraph is available: The statement won’t return any error if the Hypergraph Optimizer […]

MySQL Enterprise Monitor, aka MEM, retired in January 2025, after almost 20 years of exemplary service! What’s next? Of course, plenty of alternatives exist, open source, proprietary, and on the cloud. For MySQL customers, we provide two alternatives: This post focuses on the latter, as there is no apparent reason to deploy an Oracle Database […]

MySQL HeatWave integrates GenAI capabilities into MySQL on OCI. We have demonstrated how HeatWave GenAI can leverage RAG’s capability to utilize ingested documents (unstructured data) in LakeHouse and generate responses to specific questions or chats. See: The common theme here is the use of data stored in Object Storage (LakeHouse). I previously discussed how to […]

In the previous post, we saw how to deploy MySQL HeatWave on Amazon. Multicloud refers to the coordinated use of cloud services from multiple providers. In addition to our previous post, where we deployed MySQL HeatWave on Amazon, we will explore how to connect with another cloud service. Oracle has partnered with Microsoft to offer […]

Yesterday I participated to the Oracle Technology Roundtable for Digital Natives in Zurich.

It was a good opportunity to learn more about AI, Cloud and HeatWave with the focus on very trendy features of this product: generative AI, machine learning, vector processing, analytics and transaction processing across data in Data Lake and MySQL databases.

It was also great to share moments with the Oracle and MySQL teams and meet customers which gave feedback and tips about their solutions already in place in this area.

I’ll try to summarize below some key take-away of each session.

Unlocking Innovation: How Oracle AI is Shaping the Future of Business (by Jürgen Wirtgen)

AI is not a new topic. But how do we …

Multicloud is a cloud adoption strategy that utilizes services from multiple cloud providers rather than relying on just one. This approach enables organizations to take advantage of the best services for specific tasks, enhances resilience, and helps reduce costs. Additionally, a multicloud strategy offers the flexibility necessary to meet regulatory requirements and increases options for […]

This tutorial explores HeatWave GenAI, a cloud service that simplifies interacting with unstructured data using natural language. It combines large language models, vector stores, and SQL queries to enable tasks like content generation, chatbot, and retrieval-augmented generation (RAG). The focus is on RAG and how HeatWave GenAI’s architecture helps users gain insights from their data.

The post Simplifying AI Development: A Practical Guide to HeatWave GenAI’s RAG & Vector Store Features first appeared on dasini.net - Diary of a MySQL expert.

This new AI tech, called generative AI (or GenAI), can dive deep into what people are saying and tell us if they’re feeling positive, negative, or neutral.
Let’s see how HeatWave GenAI, can help you to enhance your understanding of customer sentiment, improve decision-making, and drive business success.

The post HeatWave GenAI: Sentiment Analysis Made Easy-Peasy first appeared on dasini.net - Diary of a MySQL expert.