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.
