Rocket Data and Open Source Tools Power the Best Mainframe Yet
Last week, IBM made three important announcements. First, they announced the latest IBM mainframe: the IBM z14, designed to help businesses lead the way in offering trusted digital experiences. Then, IBM coupled that announcement with an announcement of the latest flagship IBM mainframe operating system, IBM z/OS Version 2 Release 3, an engine for digital transformation. Finally, before the day was up, IBM divulged some details about its infrastructure for allowing analytics and machine learning to run as close to mainframe data as possible.
IBM calls the latter technology IBM Open Data Analytics for z/OS V1.1.0, and it enables support for Apache Spark, Python, and Anaconda to run natively on IBM z/OS. The media, who have been all over this launch, have been focusing on the 12 billion encrypted transactions a day story, perhaps to the exclusion of the data science story. But this announcement is tremendously important, especially in the fields of business intelligence and data analytics. More and more, data science professionals are realizing that in order to produce truly real-time data analytics, they need to be as close to the data as possible. IBM Open Data Analytics (ODA) makes that possible.
Rocketeers have played an important role in all three announcements, and the third announcement in particular represents a significant body of work delivered to the community by our Rocket Data lab, with their work on the Optimized Data Layer included as a component of IBM ODA for z/OS, and our Open Source Languages and Tools for z/OS team. These languages and tools consist of hundreds of open source packages, including nine principal data science packages as well as a ported version of Python.
So, I want to say congratulations to everyone who contributed to last week’s announcement. Not only do these tools unlock mainframe data for analytics, machine learning, and more, they’re democratizing mainframe development by allowing coders without traditional mainframe experience to program the mainframe as if it were any other computer.