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.

Generative artificial intelligence (GenAI) is reshaping the content creation landscape. By training on vast datasets, these "intelligent" systems can produce new, human-quality content across a multitude of domains.

Oracle's HeatWave GenAI (starting with version 9.0.1) is at the forefront of this revolution, offering an integrated platform that combines in-database large language models (LLMs), vector stores, and scale-out vector processing to streamline content generation.
This article explores how HeatWave GenAI is empowering businesses to produce high-quality content rapidly and effectively, making it an indispensable tool for industries demanding speed, accuracy, and security.

The post HeatWave GenAI: Your AI-Powered Content Creation Partner first appeared on …

MySQL 9.0.0 has brought the VECTOR datatype to your favorite Open Source Database. There are already some functions available to deal with those vectors: This post will show how to deal with vectors and create our own functions to create operations between vectors. We will use the MLE Component capability to create JavaScript functions. JS […]

This article guides you through setting up replication between a HeatWave MySQL instance (source) and an on-premise standalone MySQL instance (replica).
It highlights key steps like creating a replication user, securing the connection, and using MySQL Shell utilities for data transfer.

The post Get Your HeatWave MySQL Data On-Premises with Replication first appeared on dasini.net - Diary of a MySQL expert.

MySQL HeatWave 9.0 was released under the banner of artificial intelligence. It includes a VECTOR datatype and can easily process and analyze vast amounts of proprietary unstructured documents in object storage, using HeatWave GenAI and Lakehouse. Oracle Cloud Infrastructure also provides a wonderful GenAI Service, and in this post, we will see how to use […]

In MySQL HeatWave, the Database as a Service (DBaaS) offered by Oracle, Machine Learning is incorporated to provide database administrators (DBAs) and developers with an optimal experience.

Those tools are the Auto ML advisors like the autopilot indexing for example.

MySQL HeatWave is also an invaluable asset for Data Analysts, offering straightforward tools that streamline the process of creating predictive models through data training and scoring.

The Data

The data we are using is the Bank Marketing data related to marketing campaigns over phone calls of a Portuguese banking …

MySQL HeatWave is the MySQL DBaaS provided by Oracle in OCI and some other clouds. Compared to the vanilla MySQL, one of the key features of the service is that it allows you to run analytics queries (aka OLAP) very quickly using the HeatWave cluster. You can also run such queries on files using LakeHouse.

When we talk about analytics, we also think about data visualization solutions. In OCI, you can use Oracle Analytics Cloud.

In this article, we explore the procedure to establish a connection between Oracle Analytics Cloud (OAC) and a MySQL HeatWave DB instance within Oracle Cloud Infrastructure (OCI).

Deploying OAC

We consider that you already have a DB System up and running in OCI. The first step is then to deploy an Analytics …