Webinar

Frictionless Data Lake ETL for Petabyte-Scale Streaming Data

Speakers:

Ori Rafael

CEO & Co-Founder, Upsolver

Roy Hasson

Sr. Manager, Business Dev., AWS

Seva Feldman

VP R&D, ironSource

Get Webinar Recording

Thank you!

Thank you for downloading our webinar recording!

Get Webinar Recording

ironSource, an app monetization and video advertising platform, managed to transform 500K events per second, using only a visual interface and SQL, saving thousands of engineering hours, reducing latency, and increasing system scale by a factor of ten. Discover how Upsolver helped ironSource reach these results.

 

What will you learn from
this webinar?

  • Why using a data lake ETL platform quickly maximizes value from your Amazon S3 data lake.
  • About common pitfalls in building a performant and versatile data lake, and how to overcome them.
  • How Upsolver automatically optimizes Amazon S3 data with columnar file formats, partitioning, and compaction.
  • How Upsolver automates specialized and code-intensive data engineering work for data pipelines while bypassing the complexity of popular open source frameworks such as Apache Spark.
  • And much more!
Kafka vs. RabbitMQ: Architecture, Performance & Use Cases

See Some of Upsolver's Customers

proofpoint logo
pega logo
similarweb logo
avantis logo
Cox Automotive logo
sisense logo