Introduction: Dockerize Your Data Pipeline I can remember times when my company started using a new technology — be it Redis, Kafka, or Spark — and in order to try it out I found myself staring at a screen like this: At the time I thought nothing of doing this. And even wore it as a badge of pride …
The Everything Bagel II: Versioned Data Lake Tables with lakeFS and Trino Read More »
“I have never lied to you, I have always told you some version of the truth.” “The truth doesn’t have versions, okay?” — Something’s Gotta Give (2003) Jack Nicholson and Diane Keaton discuss data versioning in Something’s Gotta Give. Table of Contents Introduction A version of something is defined as “a particular form in which some details are different …
Introduction When we first thought about a tagline for our open source project lakeFS, we instinctively gravitated to terms like “Data versioning”, “Manage data the way you manage code”, “Git for data”, or any variation of the three that is grammatically correct. We were very pleased with ourselves for 5 minutes, or maybe 7, before …
Data Versioning – Does It Mean What You Think It Means? Read More »
Overview of Hive’s Metastore Let’s get right into it. This is not an objective recap of every topic covered at the Future of Metadata After Hive Roundtable last week. But it is a summary of what I found most interesting from the discussion between panelists Lior Ebel, Ryan Blue, Seshu Adunuthula and host Oz Katz. Watch the full talk below! …
Takeaways From the Future of Metadata After Hive Metastore Roundtable Read More »
Recently, we’ve heard from several community members experimenting with new development workflows using lakeFS and dbt. The timing isn’t surprising given dbt’s more recent support of big data compute tools like Spark and Trino that are some of the most commonly-used technologies by lakeFS users managing a data lake over an object store. The combination …
dbt Tests – Create Staging Environments for Flawless Data CI/CD Read More »
Last week we held another lakeFS Community Call! We believe these calls are invaluable opportunities to have direct dialogue with our users on all things lakeFS. Oz covered important new lakeFS functionality, previewed what’s coming soon from the roadmap, and also shared two exciting updates from the community. Let’s recap! 6 Important lakeFS Releases 1. …
Few people start using lakeFS without first having some data collected. Consequently, it is common that after getting it up and running, one of the first things people do is import their existing data to lakeFS. There isn’t a one-size-fits-all approach for doing this. Instead, there are ways that work great for a single file, …
Overview The templating package text/template implements data-driven templates for generating textual output. Although we do not benefit from executing the template output more than once, we found it easy to use and helpful for outputting text with colors, marshaling data, and rendering tabular information. By mapping additional functions by name, it is possible to extend …
Building Rich CLI Applications with Go’s Built-in Templating Read More »
If you think about it, lakeFS is about two things — version control and big data. We see ourselves as bringing version control to big data. This bridges a workflow gap that currently exists when working with data and working with code. This gap is purely artificial — there’s no conceptual reason why different workflows should be required for …
This is the first post of a series (well, at least 2) about Data Products. In Part I, we’ll cover what data products are, how they differ from traditional services built by product teams, and conclude with a few requirements that help create successful data products. What Are Data Products? Data products are carefully curated …
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