Apache Spark was specifically designed with the goal of having a unified stack of data processing and analytics capabilities all in one environment. The goal? To make it easier and faster for data professionals to perform data science, advanced analytics, and development on big data. One of the ways that Apache Spark instantly makes the work of data science professionals easier is by unifying data access across the organization. By unify data access, this means that 1 or 2 lines of code can be used to pull data from multiple data sources, which pretty much only Spark can do, due to the variety and volume of connectors supported by Spark. The result is that any user can pull data when they want to on Spark, versus working around, or waiting for IT or any other issues that prevent immediate data access. Attend this webinar to learn about how to use Apache Spark as a lever to solve bigger problems, get faster time to business applications, and develop a blueprint for innovation.
Register here: http://ibm.biz/BdrXVt