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[ANNOUNCEMENT] Congrats to the Apache Spark community and all the contributors! The Apache Spark 3.3 is here. Try it out! spark.apache.org/releases/spark…

In his #DataAISummit 2022 keynote - Reynold Xin highlighted #SparkConnect which introduces a decoupled client-server architecture for #ApacheSpark that allows remote connectivity to Spark clusters. Now, we have our first PR! github.com/apache/spark/p…

[ANNOUNCEMENT] Congrats to the Apache Spark community and all the contributors! The Apache Spark 3.4.0 is here. Try it out! spark.apache.org/releases/spark…

#ApacheSpark 3.4 is the fifth release of the 3.x line which resolved > 2,600 lira tickets! One of the highlighted features is the #python client for #sparkconnect Want to know more? Check out Martin Grund's PyConDE & PyData session pretalx.com/pyconde-pydata…

[ANNOUNCEMENT] Congrats to the Apache Spark community and all the contributors! The Apache Spark 3.5.0 release is here. Try it out! spark.apache.org/releases/spark…

🚀 The upcoming Apache Spark™ 4.0.0 release introduces the ANSI SQL/PSM standard & extends the current Spark SQL functionality to include: ✅Procedural logic & control flow ✅Complex data transformations ✅Familiar scripting for analysts ⬇️ Learn more! linkedin.com/pulse/sql-scri…

[ANNOUNCEMENT] The Apache Spark 4.0.0™ release is here! 🎉 Congrats to the #ApacheSpark community! This milestone is a testament to tremendous collaboration, resolving over 5100 tickets with contributions from more than 390 individuals. Try it out! ➡️ spark.apache.org/releases/spark…

Can Apache Spark™ power operational AI workloads? Find out on July 30!  🚀 Apache Spark™ is the gold standard for large-scale data processing and analytics. With additional integrations, it can handle low-latency operational AI workloads—think real-time recommendations, fraud

Building Operational AI Apps on Apache Spark? Learn How to Overcome Latency and Concurrency Challenges 🚀 Apache Spark™ is known for large-scale data processing and analytics. With the right integrations, it can also deliver the low-latency performance needed for operational AI

📣 Announcing: Apache Spark™ Python Data Source for Hugging Face AI Datasets! During this virtual event, you’ll learn how Apache Spark™ 4.x Python Data Source API allows Hugging Face to extend datasets for AI workloads. Why attend? ✅ 𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿 𝘁𝗵𝗲 𝗹𝗮𝘁𝗲𝘀𝘁

See Apache Spark + Spice AI in Action: Faster Queries + Real-Time AI Decisioning 🤝 Apache Spark™ delivers at scale for data processing and analytics. With Spark Connect and Spice AI OSS, teams can also enable low-latency, high-concurrency access to Spark data for operational

Apache Spark™ provides the foundation for large-scale data processing and analytics. By integrating Spark Connect and Spice AI OSS, teams can unlock the speed and concurrency needed for operational AI workloads, including fraud detection, predictive analytics, and real-time

Happening Wednesday: Learn How to Power Operational AI with Apache Spark + Spice AI 🚀 It’s almost here! On July 30 at 9:30 AM PST, join us for a live, online technical deep dive into how Spark Connect and Spice AI OSS help Apache Spark™ support real-time, operational AI use

Curious about Python Data Sources in in Apache Spark 4.x? 🤔 Discover as we dive deep into the latest innovations and integration of 𝗔𝗽𝗮𝗰𝗵𝗲 𝗦𝗽𝗮𝗿𝗸™ 𝗮𝗻𝗱 𝗛𝘂𝗴𝗴𝗶𝗻𝗴 𝗙𝗮𝗰𝗲 AI datasets. ✅ Jules Damji (@Databricks) will break down the new Python Data Source in