It expands Pandas API coverage with NumPy input support, simplifies migration from traditional data warehouses through ANSI compliance and new built-in functions. It introduces a Python client for Spark Connect, enhances Structured Streaming with async progress tracking and Python stateful processing. This release, driven by the open-source community, resolved over 2,600 Jira tickets. New features and improvements of Spark Release 3.4.1Īpache Spark 3.4.0 is the fifth release in the 3.x line. Staying up to date ensures optimal performance and reliability for your data processing tasks. Microsoft Fabric periodically rolls out maintenance updates for Runtime 1.2, providing bug fixes, performance enhancements, and security patches. Refer to the documentation for a complete list of libraries. These libraries are automatically included when using notebooks or jobs in the Microsoft Fabric platform. Microsoft Fabric Runtime 1.2 comes with a collection of default level packages, including a full Anaconda installation and commonly used libraries for Java/Scala, Python, and R. The major components of Runtime 1.2 include: Microsoft Fabric Runtime 1.2 is the latest GA runtime version. This document covers the Runtime 1.2 components and versions. The Microsoft Fabric Runtime is an Azure-integrated platform based on Apache Spark that enables the execution and management of data engineering and data science experiences.
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