Introducing Apache Spark™ 3.3 for Databricks Runtime 11.0June 15, 2022 by Maxim Gekk, Wenchen Fan, Hyukjin Kwon, Serge Rielau, Yingyi Bu, Xiao Li and Reynold Xin in Engineering Blog Today we are happy to announce the availability of Apache Spark™ 3.3 on Databricks as part of Databricks Runtime 11.0 . We want...
A Comprehensive Look at Dates and Timestamps in Apache Spark ™ 3.0July 22, 2020 by Maxim Gekk, Wenchen Fan and Hyukjin Kwon in Engineering Blog Apache Spark is a very popular tool for processing structured and unstructured data. When it comes to processing structured data, it supports many...