Since its birth in 2009, and the time it was open sourced in 2010, Apache Spark has grown to become one of the largest open source communities in big data with over 400 organizations from 100 companies contributing to it. Spark stands out for its ability to process large volumes of data 100x faster, because data is persisted in-memory. Azure cloud makes Apache Spark incredibly easy and cost effective to deploy with no hardware to buy, no software to configure, with a full notebook experience to author compelling narratives, and integration with partner business intelligence tools. In this blog post, I am going to review of some of the truly game-changing usage scenarios withApache Spark on Azure that companies can employ in their context.
Eight scenarios with Apache Spark on Azure that will transform any business | SQL Server Blog
No comments:
Post a Comment
Note: Only a member of this blog may post a comment.