Frictionless Data Lake ETL for Petabyte-Scale Streaming Data
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!