An Evolution of Data Architectures - Lambda, Kappa, Delta, Mesh & Fabric
summary
Claims that bringing ACID to data lakes solved scale and consistency problems by letting storage and compute cooperate, with Delta Lake open-sourced April 2019 and Databricks/Spark-based implementations on Azure (Synapse, Data Factory, Databricks, HDInsight). Kappa simplifies Lambda by unifying batch and streaming into Delta tables; Fabric (May 2023) packages OneLake, Delta tables, SQL endpoints, KQL, workspaces and event streams as a unified stack. Practical outcome: time-to-insight drops from months to days but data mesh requires heavy org change and federated governance.
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chapters (7)
- 0:00Introduction and evolution
- 4:27Data lakehouse and Delta
- 6:48Implementing Delta Lake
- 16:12Lambda and Kappa architectures
- 22:09Introduction to Fabric
- 23:28Data mesh concepts
- 30:56Practical implementation
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