How to Cost Effectively Retain Reference Data for Analytics and Big Data

The need to store critical digital content at the petabyte level and beyond is quickly moving outside the capabilities of traditional storage solutions. In addition, the complexity of many of today’s storage solutions can prohibit companies from migrating to a solution that best fits their needs. Many companies are turning to active archives, an approach that is quickly gaining traction for companies that regularly manage high-volume reference data or face exponential data growth associated with Data Analytics and Big Data. Software, tape and disk vendors alike are combining the best of these technologies to provide more efficient and functional solutions. And, according to InterSect360, 35% of Big Data users are already using tape to help access and retain the data necessary for long-term analytics.

Learning Objectives

What to consider when implementing an active archive for storage.
How to store your data for maximum impact and analytic reference.
How to obtain reliable access to data storage and analytics in a cost-effective manner.