In order to focus on their primary task of developing databases, the development team need to automate as many as possible of the routine tasks that are essential for database delivery, such as testing, scripting, version control, documentation, code review, reporting and so on. This article gives some advice on how to do it, faced with the added challenge of needing to use several different relational databases.
We are proud and honored to announce DPWIT-Mental Health and Wellness Day, May 5th,2023,
Who should create documentation for software? In many companies, it's the developers. In fact, in Redgate, often our developers are tasked with updating articles for products on our documentation site. We do have a streamlined process that has developers can submitting changes in some format (markdown? ) and an automation process that automatically updates the […]
This article examines how one can structure a pipeline for processing real-time data using Kafka and Informatica.
The five-part series is designed to jump-start any IT professional’s journey in the fascinating world of Data Science with Azure Machine Learning (Azure ML). Readers don’t need prior knowledge of Data Science, Machine Learning, Statistics, or Azure to begin this adventure.
In 2023, connect, share & learn with like-minded peers, speakers, and industry leaders during the full week of data celebrations. Summit happens in person, from November 14th to 17th in Seattle. Check out the blog post and learn more.
Someone makes a case for using a Document DB rather than a RDBMS. Steve has a few thoughts.
Static data is often required for the basic functioning of a database and any dependent applications. Therefore, it's vital that we can track this static data to understand how, when, and why it changed, and that we include any static data changes in our database deployments. Flyway Enterprise will now do both tasks automatically.
We may need to share our Python desktop or console applications with business users or deploy these applications to multiple machines. However, there are some challenges in the delivery of Python applications.
With the ChatGPT and AI crazy sweeping through the media, Steve has a few thoughts on what this might mean for data professionals.
By Steve Jones
Software is hard. While I love our Lucid Gravity, I realize that they are...
By James Serra
Making Data AI-Ready, Part 2 (This is the second article in a three-part series...
By Steve Jones
Can you use your GPUs when running a local model under Ollama? You can,...
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