Companies want to maximize the data they collect—whether it’s to better understand past events, predict future events, or find answers to questions not previously considered.
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.
Apple and IBM announced in July that they were preparing to develop more than 100 business software programs for Apple’s iOS operating environment. These programs are being designed for a wide range of industries including financial services, health care, retail and telecommunications. What IBM and
What is your greatest IT concern? If you’re like most senior IT leaders, it’s analytics and business insights.
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.