Quastor Daily
Read post

How Uber Built an Exabyte-Scale System for Data Processing

Uber has revamped its ETL (Extract, Transform, Load) platform to manage its massive data processing needs. They developed Sparkle, a modular framework built on top of Apache Spark, to simplify the development and testing of ETL jobs. This framework enables the use of best practices in data engineering while allowing Uber to manage their vast data pipelines more efficiently.

    #big-data#uber#apache-spark#data-processing#etl
Jan 16, 2025•6m read time•From blog.quastor.org
Post cover image
Table of contents
The Developer’s Guide to Product Integrations: Build vs. BuyThe Architecture of Uber’s ETL PlatformConnect your SaaS product to Salesforce in hours, not weeksTech Snippets
136 Impressions
Quastor Daily's image
Quastor Daily

Quastor's platform is dedicated to providing insights and resources for software developers and tec...

152 Followers

•

1.5K Upvotes

Would you recommend this post?

Copy link
WhatsApp
Facebook
X
New Squad
  • © 2026 Daily Dev Ltd.
  • Guidelines
  • Explore
  • Tags
  • Sources
  • Squads
  • Leaderboard