Spark Scala Exercise 23: Working with Delta Lake in Spark ScalaACID, Time Travel, and UpsertsDelta Lake enhances data reliability and governance for data lakes by integrating warehouse features.
Delta Lake and Iceberg communities collide - in a good wayDatabricks collaborates on the Iceberg table format, enhancing interoperability with its own Delta Lake format, aiming to optimize analytics performance.
When to use Apache Xtable or Delta Lake Uniform for Data Lakehouse Interoperability | HackerNoonThe lakehouse model combines data lake and warehouse functionalities for better analytics and storage.
Feb 13 AArch Webinar: Standardizing Data Collaboration - The Role of Open Table Formats in Data Architecture - DATAVERSITYOpen table formats are critical for enabling seamless data collaboration in complex data ecosystems.
Delta Lake and Iceberg communities collide - in a good wayDatabricks collaborates on the Iceberg table format, enhancing interoperability with its own Delta Lake format, aiming to optimize analytics performance.
When to use Apache Xtable or Delta Lake Uniform for Data Lakehouse Interoperability | HackerNoonThe lakehouse model combines data lake and warehouse functionalities for better analytics and storage.
Feb 13 AArch Webinar: Standardizing Data Collaboration - The Role of Open Table Formats in Data Architecture - DATAVERSITYOpen table formats are critical for enabling seamless data collaboration in complex data ecosystems.
Building an IoT Monitoring System with Spark Structured Streaming, Kafka and ScalaDeveloped IoT Smart Farm Monitoring system using Scala, Apache Spark Streaming, and Kafka for real-time data processing.