Apache Spark 3.3.0 features articles

What's new in Apache Spark 3.3.0 - PySpark

It's time for the last "What's new in Apache Spark 3.3.0..." before a break. Today we'll see what changed in PySpark. Spoiler alert: Pandas users should find one feature very exciting!

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What's new in Apache Spark 3.3.0 - Structured Streaming

Even though the Project Lightspeed is not there yet, Apache Spark Structured Streaming 3.3.0 has several interesting features that should make your daily life easier.

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What's new in Apache Spark 3.3.0 - Data Source V2

After a break for the Data+AI Summit retrospective, it's time to return to Apache Spark 3.3.0 and see what changed for the DataSource V2 API.

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What's new in Apache Spark 3.3 - new functions

New Apache SQL functions are a regular position in my "What's new in Apache Spark..." series. Let's see what has changed in the most recent (3.3.0) release!

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What's new in Apache Spark 3.3 - joins

Joins are probably the most popular operation for combining datasets and Apache Spark supports multiple types of them already! In the new release, the framework got 2 new strategies, the storage-partitioned and row-level runtime filters.

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