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As companies seek to gain competitive advantage using advanced analytics, a sea change is occurring in terms of the data and the infrastructure that supports it. Several technology factors are coming together to form the fabric of an evolving analytics ecosystem. These include:
Data preparation and staging technologies are evolving to support big data. In addition, advances such as in-memory analytics and in-database analytics have accelerated analytics performance, which has helped organizations analyze data more effectively in order to compete.
As enterprises look to embrace big data and Hadoop, they have numerous questions: “How can I deal with data preparation on Hadoop?” “How does utilizing Hadoop impact visualization and other kinds of analysis?” “What kind of analytical techniques are available to analyze Hadoop data?” “How do I use Hadoop with in-memory processing?”
This Checklist Report focuses on these questions and provides information to help you explore big data analytics.
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