Immersion Day - San Francisco

Modern data sources create a wealth of data quality challenges that traditional data movement platforms and ETL solutions aren’t designed to address – issues such as late arriving, out of order or duplicate data, evolving schema and more.

Upsolver’s new Big Data Ingestion edition comes with data quality and observability built-in, making it dead easy to deliver trustworthy data from Kafka, Kinesis, S3 and databases to Snowflake, Redshift and data lakes on AWS.

Join this in-person, hands-on workshop with AWS and Upsolver to:

• Learn why data quality issues are unavoidable, especially for big data and streaming data sources.
• Assess the state of current technical approaches to dealing with these issues and their drawbacks.
• Learn how to deliver data quality, observability and remediation at the point of data ingestion.
• Build a Kafka-to-Snowflake pipeline including quality checks and cleansing operations.
• Dive deeper into Upsolver to build powerful streaming data lake transformations using SQL.
• Use Upsolver’s observability features to detect and deal with schema evolution and data drift.
• Get a sneak peek into Upsolver’s roadmap including dbt integration and Iceberg support.

Save your seat today! Space is limited.