Big data environments help organizations capture, manage, process and analyze large amounts of data from both new data formats, as well as traditional formats, in real time. When managing the data lifecycle of big data, organizations should consider the volume, velocity and complexity of big data:
As organizations look to big data environments to analyze and manage critical business decisions, they will face significant challenges related to data lifecycle management:
InfoSphere Optim solutions provide proven data lifecycle management capabilities, maximizing the business value of data warehouse and big data environments through managing data growth, lowering TCO and meeting data retention compliance.
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Gartner Magic Quadrant for Structured Data Archiving Application Retirement
In the first ever Structured Data Archiving Application Retirement Magic Quadrant, IBM is recognized as a leader in the ability to execute and completeness of vision. Get the analyst report
Demo: InfoSphere Optim Data Growth Solution
InfoSphere Optim Data Growth intelligently archives enterprise application data and addresses data retention, disaster recovery and disposal compliance issues, reducing costs, improving performance and minimizing risks.
Forrester Report: Control and protect sensitive information in the era of Big Data