Many organizations have migrated their data warehouses to datalake solutions in recent years. With the convergence of the data warehouse and the data lake, a new data management paradigm has emerged that combines the best of 2 approaches: the bottom-up of big data and the top-down of a classic data warehouse.
In this talk, I will explain the current challenges of a datalake and how we can approach a moderm data architecture with the help of pyspark, hudi, delta.io or iceberg. We will see how organize data in a data lake to support real-time processing of applications and analyzes across all varieties of data sets, structured and unstructured, how provides the scale needed to support enterprise-wide digital transformation and creates one unique source of data for multiple audiences.
This repo contains slides and code for Mauro Pelucchi's "Data warehouses meet data lakes" @ EuroPython 2022 - Dublin (IE).
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