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 …

In this article I will show you how to properly configure Apache Zeppelin in order to take advantage of the Analytics and Machine Learning capabilities of MySQL HeatWave the MySQL in-memory query accelerator.

The post Interactively explore & visualize your MySQL HeatWave data with Apache Zeppelin first appeared on dasini.net - Diary of a MySQL expert.

“We made it a point to hire really smart, visionary people and then let them do their work.
I wanted to delegate and let people be in charge of things. My own decision-making process was to decide who got to decide. To make decisions, you have to first outline the problem, and if you hire really great people, they’re going to know more about the problem they’re dealing with than you ever will.”–Scott McNealy

I have interviewed Scott McNealy. Scott is a Silicon Valley pioneer, most famous for co-founding Sun Microsystems in 1982. We talked about Innovation, AI, Big Data, Redis, Curriki and Wayin.

RVZ

Q1. You co-Founded Sun Microsystems in 1982, and served as CEO and Chairman of the Board for 22 years. What are the main lessons learned in all these years?

Scott …

Welcome to another post in our series of interview blogs for the upcoming Percona Live Europe 2017 in Dublin. This series highlights a number of talks that will be at the conference and gives a short preview of what attendees can expect to learn from the presenter.

This blog post is with Dana Van Aken, a Ph.D. student in Computer Science at Carnegie Mellon University. Her talk is titled Automatic Database Management System Tuning Through Large-Scale Machine Learning. DBMSs are difficult to manage because they have hundreds of configuration “knobs” that control factors such as the amount of memory to use for …

“Spark and Ignite can complement each other very well. Ignite can provide shared storage for Spark so state can be passed from one Spark application or job to another. Ignite can also be used to provide distributed SQL with indexing that accelerates Spark SQL by up to 1,000x.”–Nikita Ivanov.

I have interviewed Nikita Ivanov,CTO of GridGain.
Main topics of the interview are Apache Ignite, Apache Spark and MySQL, and how well they perform on big data analytics.

RVZ

Q1. What are the main technical challenges of SaaS development projects?

Nikita Ivanov: SaaS requires that the applications be highly responsive, reliable and web-scale. SaaS development projects face many of the same challenges as …

1. Networks Blocking Google TV -- the networks are carrying over their old distribution models: someone aggregates eyeballs and pays them for access. In their world view, Google TV is just another cable company. They're doubling down on this wholesale model, pulling out of Hulu and generally avoiding dealing with the people who ultimately watch their shows except through ad-filled shows on their corporate sites. (via Gina Trapani)
2. Mobile Market Snippets -- lots of numbers collected by Luke Wroblewski. After the Verizon iPhone launched …