Modernize Your Data Integration Architecture For Better Analytics
summary
Overview of a practical modernization path: Qlik positions a metadata-driven agentless log-based CDC to stream changes into Kafka, Snowflake, Databricks Delta Lake or cloud warehouses, plus data warehouse automation that generates SQL and gets pipelines up to 80% generated automatically. Features include cataloging with field-level lineage, reverse ETL to Salesforce, low-code drag-and-drop pipeline building, automl and app automation. A customer re-targets an existing lake-to-warehouse pipeline to Snowflake by swapping targets and it works immediately.
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chapters (7)
- 0:00Introduction to data integration
- 2:29Evolution of data architectures
- 8:05Challenges in modern architectures
- 12:16What is a data fabric
- 14:24Reference architecture overview
- 20:43Five uses of data fabric
- 30:10Summary and customer example
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