This article is for those who opened a Fabric notebook, saw the message above, and wondered, "What is this? Do I need to do something?" To give you the answer upfront, this is a notification that ...

Define trusted context for analytics and AI: Metric views create governed business definitions, while vector retrieval, geospatial types, and richer SQL primitives bring AI-native analytics into Spark ...

Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters. Big data is a term that describes large, hard-to-manage ...

As data platforms evolve and businesses diversify their cloud ecosystems, the need to migrate SQL workloads between engines is becoming increasingly common. Recently, I had the opportunity to work on ...

Apache Spark SQL uses SQL capabilities to process large-scale structured data. One powerful feature in modern SQL is the WITH clause, supported in Spark SQL as Common Table Expressions (CTE). CTE ...

Your browser does not support the audio element. A practical way to reduce skew is salting, which involves artificially spreading out heavy keys across multiple ...

Apache Hive ™ on Apache Spark ™ has been the preferred engine for ETL workloads at Uber. Hive on Spark supports a wide range of use cases across various verticals like compliance, financial reporting, ...

Apache Spark lets organizations analyze vast amounts of data for use cases like ETL, data science, machine learning and more. However, achieving high performance and cost efficiency at scale can be ...

金融级ETL系统国产化迁移实战：从Informatica到SeaTunnel ETL（数据抽取、转换、加载）是企业数据仓库建设的核心技术，传统方案 ...