An open-source storage layer that extends Parquet files with a transaction log to provide ACID transactions, schema enforcement and table versioning; it is the default table format in Azure Databricks.
In this episode, we dive into Microsoft Fabric, the unified data and analytics platform reshaping how organizations manage, analyze, and act on their data. Designed to bring Power BI, Data Factory, Azure Synapse, and other Microsoft services into one…
Learn what Azure Databricks actually is, how Apache Spark powers it, and when to use Lakehouse architectures over traditional data warehouses. Apache Spark started as a research project at a university in 2009, and it grew into the engine most big data…
The episode explains why the lakehouse idea exists and what a lakehouse really is. Delta Lake is the piece that keeps your tables from falling apart, so the data can be trusted. · From the episode: Azure Databricks - Simply Explained
What does Delta Lake do?
Delta Lake keeps your table from falling apart, which is why the data can be trusted. It is part of the lakehouse idea the episode explains, where data stored in a lake still behaves reliably like a table for reporting and further processing on Spark. · From the episode: Azure Databricks - Simply Explained
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