Background

Modern data-driven companies need data in real time, and query engines need data lake pipelines that can support streaming and historical big data—but delivering petabyte-scale data can be challenging. ironSource, an app monetization and video advertising platform, wanted to develop products and deliver actionable data for analytics without the hassle of data lake maintenance and ETL Spark/Hadoop coding.

Join our webinar to learn how ironSource uses Upsolver, a data lake ETL platform that runs on Amazon Web Services (AWS), to transform 500K events per second, using only a visual interface and SQL. ironSource optimized data preparation—saving thousands of engineering hours, reducing latency, and increasing system scale by a factor of ten.

Register to learn

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 automates specialized and code-intensive data engineering work for data pipelines while bypassing the complexity of popular open source frameworks such as Apache Spark
How Upsolver automatically optimizes Amazon S3 data with columnar file formats, partitioning, and compaction

How Upsolver’s automated data lake ETL platform dramatically shortens time-to-value when preparing data for Amazon Athena and Amazon Redshift and reduces the costs of Elasticsearch

Who should attend?

CTO, CIO, CISO, VP of IT, VP of R&D, VP of Data, IT Manager, IT Director, IT Supervisor, Software Developer, Software Development Manager, System Architect

Speakers

Roy Hasson - Sr. Manager, Business Development - Analytics and Data Lakes, AWS

Ori Rafael - CEO & Co-Founder, Upsolver

Seva Feldman - VP R&D, ironSource

Frictionless Data Lake ETL for Petabyte-Scale Streaming Data

Follow this organizer to stay informed on future events

Events you might like

Ajax Roadshow KyivAjax Roadshow Kyiv

Buy ecstasy pills onlineBuy ecstasy pills online

Ajax Roadshow Kyiv

Buy ecstasy pills online