Apache Spark 3.0 is now here, and it’s bringing a host of enhancements across its diverse range of capabilities. The headliner is an big bump in performance for the SQL engine and better coverage of ...

Spark SQL was first released in Spark 1.0 (May, 2014). Initial development by Michael Armbrust & Reynold Xin from Databricks. Interface for Structured (Schema) and Semi-Structured Data: Provides a ...

Python, R, or SQL: Which reigns supreme in 2025's data science landscape? Compare trends and use cases to choose best language for your data science projects. The data science industry is booming, ...

Working with Unity Catalog Tables with Apache Spark and Delta Lake Locally Let’s start running some Spark SQL queries in the Spark SQL shell (bin/spark-sql) or PySpark shell (bin/pyspark) within the ...

Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...