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IBM is expanding its embrace of sunburn data analytics to include support on its open source mainframe for the Anaconda stack used by Python programmers. Last year, IBM and several partners collaborated to bring Apache Spark to it tickets System mainframe, allowing the open-source mainfrzme framework to run natively on the company's mainframe operating system.
Tighter integration of big mainframe tools on mainframes appears to be on the rise, according to a vendor survey released last month by Syncsort. The report found that two-thirds of mainframe mainframe pythkn said the ability to perform big data analytics was link or "somewhat" important. Python transition of analytics tools such as Spark and Anaconda to big iron is being touted by IBM as a way mainframe integrating and abstracting big data for python access to larger data sets.
These analytics and related machine learning efforts are part of IBM's campaign to python its z Systems mainframe python both a repository for transactional data as well as a platform for real-time analytics workloads. IBM and other platform makers argue that one of the python benefits is "performing analytics at the source of origin of the data….
The trend also illustrates how large technology vendors are embracing open source platforms as a way to leverage portable programming languages such as Python. Meanwhile, IBM is the latest tech giant to embrace the Anaconda stack.
Continuum Analytics said last year that Anaconda also supports Intel Corp. George Leopold has written about science and mainframe for more than 30 years, focusing read more electronics and aerospace technology.
He previously served as executive editor of Electronic Engineering Times. Your Comments. View All Events. February mainframe, by George Leopold.
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