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Books > Computing & IT > Applications of computing > Databases > Data warehousing
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Big Data Imperatives - Enterprise Big Data Warehouse, BI Implementations and Analytics (Paperback, 1st ed.)
Loot Price: R2,223
Discovery Miles 22 230
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Big Data Imperatives - Enterprise Big Data Warehouse, BI Implementations and Analytics (Paperback, 1st ed.)
Expected to ship within 10 - 15 working days
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Big Data Imperatives, focuses on resolving the key questions on
every one's mind: Which data matters? Do you have enough data
volume to justify the usage? How you want to process this amount of
data? How long do you really need to keep it active for your
analysis, marketing, and BI applications? Big data is emerging from
the realm of one-off projects to mainstream business adoption;
however the real value of big data is not in the overwhelming size
of it, but more in its effective use. Your goal may be to obtain
insight from voluminous data, with billions of loosely-structured
bytes of data coming from different channels spread across
different locations, which needs to be processed until the needle
in the haystack is found.This book addresses the following big data
characteristics: * Very large, distributed aggregations of loosely
structured data -- often incomplete and inaccessible *
Petabytes/Exabytes of data * Millions/billions of people
providing/contributing to the context behind the data * Flat
schema's with few complex interrelationships * Involves
time-stamped events * Made up of incomplete data * Includes
connections between data elements that must be probabilistically
inferred Big data imperatives, explains 'what big data can do'. It
can batch process millions and billions of records both
unstructured and structured much faster and cheaper. Big data
analytics provide a platform, to merge all analysis which enables
data analysis to be more accurate, well-rounded, reliable and
focused on a specific business capability. Big data imperatives,
describes the complementary nature of traditional data warehouses
and big-data analytics platforms and how they feed each other.This
book aims to bring the big data and analytics realms together with
a greater focus on architectures that leverage the scale and power
of big data and the ability to integrate and apply analytics
principles to data which earlier was not accessible. This book, can
also be used as a handbook for practitioners; helping them on
methodology, technical architecture, analytics techniques and best
practices. At the same time, this book intends to hold the interest
of those new to big data and analytics by giving them a deep
insight into the realm of big data. What you'll learn *
Understanding the technology, implementation of big data platforms
and their usage for analytics * Big data architectures * Big data
design patterns * Implementation best practices Who this book is
for This book is designed for IT professionals, data warehousing,
business intelligence professionals, data analysis professionals,
architects, developers and business users
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