AWS Serverless analytics and Amazon EMR serverless

๐Ÿ”ฅ ๐—”๐—ช๐—ฆ ๐—ฆ๐—ฒ๐—ฟ๐˜ƒ๐—ฒ๐—ฟ๐—น๐—ฒ๐˜€๐˜€ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ - ๐—”๐—บ๐—ฎ๐˜‡๐—ผ๐—ป ๐—˜๐— ๐—ฅ ๐—ฆ๐—ฒ๐—ฟ๐˜ƒ๐—ฒ๐—ฟ๐—น๐—ฒ๐˜€๐˜€ ๐Ÿ”ฅ

โœ Finally, Amazon opened doors to its serverless analytics. ๐Ÿš€


โœ… Amazon EMR Serverless is a serverless possibility in Amazon EMR that constructs it effortless for data analysts.

โœ… Data engineers can run open-source big data analytics frameworks such as Apache Spark, Apache Hive, and Presto without configuring, managing, and scaling clusters or servers.

โœ… Amazon EMR Serverless has all the qualities and benefits of Amazon EMR without needing experts to design and oversee clusters.

โœ… On-demand scaling, Run analytics workloads at any scale with automatic on-demand scaling that resizes resources in seconds to meet changing data volumes and processing requirements.

โœ… EMR Serverless automatically scales resources up and down to provide the suitable capacity for your application.

โœ… Pay only for what you use, and you can minimize concerns about over-or under-provisioning.

#amazon #aws #dataanalytics #analytics #data #design #emr #serverless