3 Key techniques, to optimize your Apache Spark code · Start Data Engineering
Chinny Chukwudozie, Cloud Solutions. | Passion for all things Cloud Technology.
Shared External Hive Metastore with Azure Databricks and Synapse Spark Pools | by Mikael Hermansson | Towards Data Science
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Shared External Hive Metastore with Azure Databricks and Synapse Spark Pools | by Mikael Hermansson | Towards Data Science
![Efficient processing of complex XSD using Hive and Spark [PeerJ]](https://dfzljdn9uc3pi.cloudfront.net/2021/cs-652/1/fig-3-full.png "Efficient processing of complex XSD using Hive and Spark [PeerJ]")
Efficient processing of complex XSD using Hive and Spark [PeerJ]
![4. Spark SQL and DataFrames: Introduction to Built-in Data Sources - Learning Spark, 2nd Edition [Book]](https://www.oreilly.com/api/v2/epubs/9781492050032/files/assets/lesp_0401.png "4. Spark SQL and DataFrames: Introduction to Built-in Data Sources - Learning Spark, 2nd Edition [Book]")
4. Spark SQL and DataFrames: Introduction to Built-in Data Sources - Learning Spark, 2nd Edition [Book]
Databricks on the AWS Cloud
Chinny Chukwudozie, Cloud Solutions. | Passion for all things Cloud Technology.
The Spark 3.0 Performance Impact of Different Kinds of Partition Pruning
Shared External Hive Metastore with Azure Databricks and Synapse Spark Pools | by Mikael Hermansson | Towards Data Science
The Spark 3.0 Performance Impact of Different Kinds of Partition Pruning
Disaster Recovery Strategy in Azure Databricks using the Hive External Metastore (SQL DB) - Microsoft Community Hub
Delta table retention period - Delta.deletedfileretentionduration
Apache Spark @Scale: A 60 TB+ production use case from Facebook - The Databricks Blog
