apache-spark-sql spark-sql-checkpoints read 
Data Engineering Podcast
NOVEMBER 18, 2018
Apache Flink is a true stream processing engine with an impressive set of capabilities for stateful computation at scale. Go to dataengineeringpodcast.com to subscribe to the show, sign up for the mailing list, read the show notes, and get in touch. Can you start by describing what Flink is and how the project got started?
Big Data Tools
MAY 19, 2022
Apache Hudi 1.11.0 – This release of the well-known data lake has added many interesting changes. Second, they’ve significantly improved Spark integration. Kyuubi 1.5.1 – Kyuubi is a JDBC server built over Apache Spark, but as of version 1.5.0, it supports two more SQL engines, Flink and Trino/Presto.
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Big Data Tools
MAY 19, 2022
Apache Hudi 1.11.0 – This release of the well-known data lake has added many interesting changes. Second, they’ve significantly improved Spark integration. Kyuubi 1.5.1 – Kyuubi is a JDBC server built over Apache Spark, but as of version 1.5.0, it supports two more SQL engines, Flink and Trino/Presto.
ProjectPro
DECEMBER 7, 2021
3) Checkpointing: Organizations face a common issue of data loss and data duplication while running a data pipeline. Consequently, data engineers implement checkpoints so that no event is missed or processed twice. You can use big-data processing tools like Apache Spark , Kafka , and more to create such pipelines.
Cloudera
OCTOBER 5, 2021
Cloudera Data Platform (CDP) supports access controls on tables and columns, as well as on files and directories via Apache Ranger since its first release. The functionality provided by Ranger RMS is very useful for the usage of external table data by non-Hive workloads such as Spark.
ProjectPro
NOVEMBER 22, 2021
PySpark runs a completely compatible Python instance on the Spark driver (where the task was launched) while maintaining access to the Scala-based Spark cluster access. This enables them to integrate Spark's performant parallel computing with normal Python unit testing. Is PySpark the same as Spark? appName('ProjectPro').getOrCreate()
Rockset
MARCH 27, 2023
One additional note: while many stream processing platforms support declarative languages like SQL, they also support Java, Scala, or Python, which are appropriate for advanced use cases like machine learning. This requires robust mechanisms for checkpointing, state replication, and recovery. Stateful Or Not?
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