We are using HUDI to write our parquet files to S3 and it is getting exposed as lake formation tables. All our processing is happening on a spark on k8s cluster. For few optimization we have used this ...

Fast, flexible, and developer-friendly, Apache Spark is the leading platform for large-scale SQL, batch processing, stream processing, and machine learning.

"As in 2015, which was a tremendous year in growth for Apache Spark, this year, too, its growth remains unabated -- not only in areas like the public cloud, but also with the increased use of Spark ...

In Spark when you set spark.conf.set("spark.sql.sources.partitionOverwriteMode","dynamic") and then do an insert into a partitioned table in overwrite mode. The newly inserted partitions would ...

The Apache Spark community last week announced Spark 3.2, a significant new release of the distributed computing framework. Among the more exciting features are deeper support for the Python data ...