Delta Lake is an open-source storage layer designed to enhance the functionality of data lakes by providing robust data management features.
Built on top of Apache Parquet, it introduces a transaction log for ACID (Atomicity, Consistency, Isolation, Durability) compliance, enabling reliable and consistent data handling across batch and streaming operations.
Delta Lake supports a wide range of operations, including creating tables, reading/writing data, merging datasets, updating records, and optimizing storage through compaction.
Advanced features like vacuuming remove unused files to save storage space, while schema evolution allows adding new columns dynamically.
Delta Lake integrates with various tools and cloud platforms such as AWS S3, Azure Blob Storage, Google Cloud Storage, and HDFS. It also supports frameworks like Apache Spark, Dask, DuckDB, and more for enhanced interoperability.
Delta Lake is a vital tool for organizations aiming to manage large-scale data reliably while maintaining flexibility in their analytics workflows.
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