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
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
This Checklist Report focuses on these questions and provides
information to help you explore big data analytics.
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