Overview As part of our routine work with data we develop code, choose and upgrade compute infrastructure, and test new data. Usually, this requires running parts of our production pipelines in parallel to production, testing the changes we wish to apply. Every data engineer knows that this convoluted process requires copying data, manually updating configuration, …
Building A Data Development Environment with lakeFS Read More »
If you’re interested in playing around and exploring lakeFS, you can now easily get started using the Katacoda playground which provides a personalized sandboxed environment – all from your browser, without installing anything. What you will learn: This tutorial we will work with a sample dataset to give you a sense of the ways lakeFS …
Lakeview is a new open source visibility tool for AWS S3 based data lakes. Think of it as ncdu, but for Petabyte-scale data. It’s goal is to provide you with an easy way to see the total size of your S3 bucket (prefix) storage. Instead of scanning billions of objects using the S3 API, which …
Introducing lakeview: A Visibility Tool for AWS S3 Based Data Lakes Read More »
50 years ago it was very hard to collaborate over code. When developing large scale software projects it was difficult to manage changes to source code over time, as revision control tools were only starting to enter mainstream computing. The adoption of version control tools, first centralized and then distributed, changed all that, and now …
How to Manage Your Data the Way You Manage Your Code Read More »
In this article I will show how Go concurrency enabled us to cut through a daunting DB performance barrier. This blog post continues our journey to big data performance. The first post on this issue discussed in-process caching in Go. The Pain lakeFS is a versioned directory over objects stores like AWS S3 and GCS …
Improving Postgres Performance Tenfold Using Go Concurrency Read More »
This is a first in a series of posts describing our journey of scaling lakeFS. In this post we describe how adding an in-process cache to our Go server speed up our authorization flow. Background lakeFS is an open-source layer that delivers resilience and manageability to object-storage based data lakes. With lakeFS you can build …
In-process caching in Go: scaling lakeFS to 100k requests/second Read More »
Day 1: Finally, an easy one Got a pretty simple task for a change – read a new type of event stream generated by sales, and publish it to the data lake. Sounds like a straightforward ETL. I estimate this as one day of work. I can reuse a bunch of code from similar jobs …
Lots of applications require a Postgres database. Before you can install them, you will need a Postgres database. How do you pick the right Postgres for your application? There are a bewildering variety of possible ways to acquire a database running on a Postgres instance, but the biggest choice is “build or buy”: whether to …
How to Pick the Right Postgres for your Application Read More »
This post aims to cover our experience running Presto in a local environment with the ability to query Amazon S3 and other S3 Compatible Systems. We will: Describe the components needed and how to configure them. Provide a dockerized environment you could run. Show an example of running the provided environment and querying a publicly …
The Quick Guide for Running Presto Locally on S3 Read More »
Introducing the concept of metadata catalogs and explaining the benefits and pains of using Hive Metastore and AWS Glue