Data pipelines are a reality for most organizations. While we work hard to bring compute to the data, to virtualize and to federate, sometimes data has to move to an optimized platform. While schema-on-read has its advantages for exploratory analytics, pipeline-driven schema-on-write is a reality for production data warehouses, data lakes and other BI repositories.
In this 1-hour webinar, you will discover:
- How data pipeline orchestration and multi-cloud strategies intersect
- Why data lineage and data transformation serve and benefit dynamic data movement
- That scaling and integrating today’s cloud and on-premises data technologies requires a mix of automation and data engineering expertise