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Parquet is a columnar storage format that is great for data analytics, while Avro?

Delta Lake is an open-source storage layer that brings ACID (atomicity, consistency, isolation, and durability) transactions to Apache Spark and big data workloads. Both Parquet and Delta formats have their own advantages and use cases. By leveraging Azure Data Factory and Azure Data Lake Storage Gen2, you can efficiently perform this conversion. Step 3: Compress the data using gzip (configured for maximum compression) Step 4: Convert the file to a parquet — with snappy compression. You can check out an earlier post on the command used to create delta and parquet tables. belt diagram for la145 john deere Delta Log — It is a changelog of all the actions performed on the delta table On the other hand, Delta Lake is an open-source storage layer that brings ACID transactions to Apache Spark and big data workloads. If we check the contents of the log we can see a JSON file that describes the first transaction that was written when Databricks created this Delta table. Both Parquet and Delta formats have their own advantages and use cases. Over time, this advantage will only become more pronounced. choice app CDC with Databricks Delta. VACUUMing the data set periodically takes time too. After you check that everything is correct, you may remove original table. The Transaction Log is a ordered record of every transaction commit against the table, and the Parquet files stores the data committed to the table. A more relevant question is Delta Lake vs Iceberge. SAIS EU 2019 Sessions) by Denny Lee, This edition of the Delta Lake Newsletter, find out more about the latest and upcoming webinars, meetups, and publications. ecobee3 lite wiring diagram Create a copy of your original table by reading original Parquet data & writing as a Delta table. ….

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