Manage the Data Lifecycle of Big Data Environments

Maximize the business value of big data environments

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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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Demo: InfoSphere Optim Data Growth Solution

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.



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