Coverart for item
The Resource Big data imperatives : enterprise big data warehouse, BI implementations and analytics, Soumendra Mohanty, Madhu Jagadeesh, Harsha Srivatsa

Big data imperatives : enterprise big data warehouse, BI implementations and analytics, Soumendra Mohanty, Madhu Jagadeesh, Harsha Srivatsa

Label
Big data imperatives : enterprise big data warehouse, BI implementations and analytics
Title
Big data imperatives
Title remainder
enterprise big data warehouse, BI implementations and analytics
Statement of responsibility
Soumendra Mohanty, Madhu Jagadeesh, Harsha Srivatsa
Creator
Contributor
Author
Subject
Genre
Language
eng
Summary
Big Data Imperatives, focuses on resolving the key questions on everyones 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. 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 Imperativesexplains '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 Imperativesdescribes 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
Cataloging source
GW5XE
http://library.link/vocab/creatorName
Mohanty, Soumendra
Dewey number
005.74
Illustrations
illustrations
Index
index present
LC call number
QA76.9.D32
LC item number
M64 2013eb
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
  • Jagadeesh, Madhu
  • Srivatsa, Harsha
Series statement
The expert's voice in big data
http://library.link/vocab/subjectName
  • Big data
  • Business intelligence
  • Information technology
  • Electronic data processing
  • Data mining
  • Strategic planning
  • COMPUTERS / Databases / Data Mining
  • COMPUTERS / Databases / Data Warehousing
  • Big data
  • Business intelligence
  • Data mining
  • Electronic data processing
  • Information technology
  • Strategic planning
Label
Big data imperatives : enterprise big data warehouse, BI implementations and analytics, Soumendra Mohanty, Madhu Jagadeesh, Harsha Srivatsa
Instantiates
Publication
Copyright
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
"Big Data" in the enterprise -- The new information management paradigm -- Big data implications for industry -- Emerging database landscape -- Application architectures for big data and analytics solutions -- Big data analytics methodology -- Extracting value from big data: in-memory solutions, real time analytics, and recommendation systems -- Data scientist
Control code
858626272
Dimensions
unknown
Extent
1 online resource (xxii, 296 pages)
File format
unknown
Form of item
online
Isbn
9781430248736
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-1-4302-4873-6
Other physical details
illustrations.
http://library.link/vocab/ext/overdrive/overdriveId
cl0500000321
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)858626272
Label
Big data imperatives : enterprise big data warehouse, BI implementations and analytics, Soumendra Mohanty, Madhu Jagadeesh, Harsha Srivatsa
Publication
Copyright
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
"Big Data" in the enterprise -- The new information management paradigm -- Big data implications for industry -- Emerging database landscape -- Application architectures for big data and analytics solutions -- Big data analytics methodology -- Extracting value from big data: in-memory solutions, real time analytics, and recommendation systems -- Data scientist
Control code
858626272
Dimensions
unknown
Extent
1 online resource (xxii, 296 pages)
File format
unknown
Form of item
online
Isbn
9781430248736
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-1-4302-4873-6
Other physical details
illustrations.
http://library.link/vocab/ext/overdrive/overdriveId
cl0500000321
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)858626272

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