Spark Connect: Flexible, Local Access to Apache Spark at Scale скачать в хорошем качестве

Spark Connect: Flexible, Local Access to Apache Spark at Scale

What if you could run Spark jobs without worrying about clusters, versions and upgrades? Did you know Spark has this functionality built-in today? Join us to take a look at this functionality — Spark Connect. Join us to dig into how Spark Connect works — abstracting away Spark clusters away in favor of the DataFrame API and unresolved logical plans. You will learn some of the cool things Spark Connect unlocks, including: Moving you from thinking about clusters to just thinking about jobs Making Spark code more portable and platform agnostic Enabling support for languages such as Go Talk By: James Malone, Product Manager, Databricks Here’s more to explore: Production ready data pipelines for analytics and AI: https://www.databricks.com/solutions/... The Big Book of Data Engineering: https://www.databricks.com/resources/... See all the product announcements from Data + AI Summit: https://www.databricks.com/events/dat... Connect with us: Website: https://databricks.com Twitter:   / databricks   LinkedIn:   / databricks   Instagram:   / databricksinc   Facebook:   / databricksinc