Apache Spark Gets A New Set Of APIs

Databricks, the company behind Apache Spark, is now releasing a new set of APIs which will allow enterprises to mechanize their Spark infrastructure to accelerate the deployment of production data driven applications. Spark was developed to speed the Hadoop computational computing software process; Hadoop is an open source software framework.
 
Ali Ghodsi, CEO of Databricks, states,
 
”Agile data-driven application development requires data scientists to work in perfect sync with DevOps, but these teams lack a unified platform to connect their separate workflows. The addition of Databricks APIs will enable these constituents to work seamlessly in one platform, allowing them to act on hidden insights from their data and create unique competitive advantages for the business."
 
With the addition of secure APIs to an integrated workspace, Databricks natively supports a complete spectrum of enterprise requirements in one platform.
 
Databricks users will now be able to implement Agile Development best practices, like continuous integration, in tandem with performing real-time data analysis and visualization.
This new set of APIs allows faster release cycles of Spark applications, higher reliability in Spark infrastructure deployments, and improved oversight and management of Apache Spark infrastructure expenses in the cloud.
 
For more information check the official website.