You are here: Home » NewsFeeds » Data Engineering at Slack

Data Engineering at Slack

By Ronnie Chen and Diana PojarResearch Data Management via janneke staaks licensed under Creative CommonsFor a company like Slack that strives to be as data-driven as possible, understanding how our users use our product is essential.The Data Engineering team at Slack works to provide an ecosystem to help people in the company quickly and easily answer questions about usage, so they can make better and data informed decisions: “Based on a team’s activity within its first week, what is the probability that it will upgrade to a paid team?” or “What is the performance impact of the newest release of the desktop app?”The DreamWe knew when we started building this system that we would need flexibility in choosing the tools to process and analyze our data. Sometimes the questions being asked involve a small amount of data and we want a fast, interactive way to explore the results. Other times we


 

Original article