Many of us stroll the worlds trying to understand – How can we optimize our data systems to achieve more? More deliverables, more volume, more valuable INSIGHTS. One valuable practice is CI/CD for data systems. 🤔 What is CI/CD for data? CI/CD stands for continuous integration and continuous delivery, and it is a software development practice that involves regularly merging code changes into a central repository, building and testing the code automatically, and deploying it to production. In the context of data, CI/CD can be used to automate the process of integrating, validating, and deploying data pipelines and models. This can help to ensure that data is consistently processed and made available in a timely and reliable manner, enabling data-driven applications and services to function smoothly and effectively. ✅ How do I implement CI/CD for data? To achieve CI/CD for data, all you have to do is lakeFS your data. Yes, just lakeFS it! Curious to learn more? Join our O'Reilly course on CI/CD for data. 🛑 Don't have an O'Reilly subscription? Not a problem. Comment with "_lakeFS it"._ And I will organize a dedicated online meetup where we will go through what it is and how to implement it.

lakeFS it 🙂

lakeFS it 😒unglasses_lakefs:

lakeFS it :lakefs:

Totally lakeFS it! But really it's so true - as a person who has been deeply involved in the DevOps community since it's inception - data completely changes everything when it comes to CI/CD adding tons of complexity - so it's exciting to see this discussion come to the forefront thanks to @Adi Polak & the lakeFS team

lakeFS it :dancing_lakefs:

lakeFS it 😃

lakeFS it :jumping-lakefs: