On-demand Webinar

An Easy Approach to ETL with Apache Spark - Visually prepare, integrate, and transform data as it arrives

Executing analytical queries on massive data volumes with traditional databases and batch ETL processes is complex, expensive, and time-consuming.

Open-source distributed computing technologies like Apache Spark provide an efficient and cost-effective data processing paradigm. Apache Spark enables end-to-end ETL workflows for incessant data streaming from heterogeneous sources and overcomes the constraints imposed by legacy ETL processes. Explore how Apache Spark provides a powerful and efficient approach to ETL. Join our upcoming webinar where experts at Impetus talk about:

  • A modern approach to ETL
  • Advantages of choosing Apache Spark to transform legacy ETL processes
  • Easy adoption and integration of Spark based ETL
  • Writing production grade Spark ETL jobs visually
  • Deploying applications on-premise and in the cloud

Speakers:

Saurabh Dutta

Senior Solutions Architect, Impetus StreamAnalytix

Aman Solanki

Senior Product Engineer, StreamAnalytix

The email to associate with this registration.

By submitting the details you agree to have read the privacy policy and receive our emails.