With its scale and processing capabilities, the mainframe is particularly well suited to running Big Data analytics. Now, a new tool is making it even easier for companies to leverage their existing infrastructure with Apache Spark, one of the most popular analytics platforms on the market.
ETL -- extract, transform and load -- has been the prevailing mantra for the past 30 years when it comes to data analytics. Until recently, it was just too expensive to run analytics where the data lived, and so companies were forced to move the information to another platform.
'Ultimate Virtualized System’ Key to Leveraging Trending Technologies
The amount of money IBM bet on the mainframe’s success—$5 billion—is the equivalent of $200 billion in today’s dollars.
It was a bet that paid off—big time. System z continues to be a dynamic force in driving future enterprise I
It’s more than just a passing fad when nearly three-quarters of mainframe users are considering or in the midst of big data projects.
SHARE is pleased to announce the results of a survey conducted in partnership with IBM Systems Magazine on trends in big data analytics and System z.
New research reveals just how much, and how, banks and financial market organizations are using Big Data.