IBM is making a major commitment to Apache Spark, which it says is potentially the most important new open source project in a decade. IBM plans to embed Spark into its Analytics and Commerce platforms, and to offer Spark as a service on IBM Cloud.
IBM will present a webcast on Thursday, June 25, 2015 at 11 am PT/ 2 pm ET to discuss common use cases for Spark, the challenges IBM has encountered in using Spark and integrating it into its portfolio, and share recommendations for others embarking on a similar path. The DBTA webcast will be presented by Trent Gray-Donald, distinguished engineer, IBM Analytics – Cloud Data Services, IBM; and Luis Arellano, program director, IBM.
Register here.
IBM is committing the efforts of more than 3,500 IBM researchers and developers who will work on Spark-related projects at more than a dozen labs worldwide; donating its IBM SystemML machine learning technology to the Spark open source ecosystem; and educating more than one million data scientists and data engineers on Spark.
"IBM has been a decades-long leader in open source innovation. We believe strongly in the power of open source as the basis to build value for clients, and are fully committed to Spark as a foundational technology platform for accelerating innovation and driving analytics across every business in a fundamental way," said Beth Smith, general manager, Analytics Platform, IBM Analytics. "Our clients will benefit as we help them embrace Spark to advance their own data strategies to drive business transformation and competitive differentiation."
According to IBM, as data and analytics become intertwined with business and society, Spark brings essential advances to large-scale data processing by improving the performance of data dependent apps and simplifying the process of developing intelligent apps, which are fueled by data.
For more information on IBM Analytics and Spark, visit www.ibm.com/spark.