Apache Hudi™ on Microsoft Azure
Blog post from Onehouse
Apache Hudi is an open-source lakehouse technology that is gaining traction in the big data community for its ability to enhance data lakes with transactions, concurrency, upserts, and advanced storage performance optimizations. While it is well-integrated with AWS services like EMR, Redshift, and Glue, Hudi is also emerging as a viable alternative for building data lakes on Microsoft Azure. It seamlessly integrates with Azure services such as Synapse Analytics, HDInsight, and ADLS Gen2, offering flexibility to use open file formats like Parquet with popular query engines such as Apache Spark, Flink, and Hive. The article provides a detailed guide on setting up Hudi within Azure Synapse Analytics, highlighting its capabilities in handling upserts, merges, time travel queries, and efficient incremental data pipelines, along with advanced concurrency controls for data deletion. Despite limited documentation, the guide aims to raise awareness of Hudi's potential on Azure, suggesting it as a robust choice alongside Delta Lake from Databricks for developing scalable data platforms.
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