Big Data Imperatives: Enterprise Big Data Warehouse, BI Implementations and Analytics
Gespeichert in:
Hauptverfasser: | , , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Berkeley, CA ; s.l.
Apress
2013
Imprint: Apress |
Schlagworte: | |
Online-Zugang: | FHM01 FHN01 FHR01 FNU01 FWS01 FWS02 Volltext Abstract |
Beschreibung: | online resource |
ISBN: | 9781430248736 |
DOI: | 10.1007/978-1-4302-4873-6 |
Internformat
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adam_text | BIG DATA IMPERATIVES
/ MOHANTY, SOUMENDRA
: 2013
ABSTRACT / INHALTSTEXT
BIG DATA IMPERATIVES, FOCUSES ON RESOLVING THE KEY QUESTIONS ON
EVERYONE’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.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
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
any_adam_object | 1 |
author | Mohanty, Soumendra Jagadeesh, Madhu Srivatsa, Harsha |
author_GND | (DE-588)1042354413 |
author_facet | Mohanty, Soumendra Jagadeesh, Madhu Srivatsa, Harsha |
author_role | aut aut aut |
author_sort | Mohanty, Soumendra |
author_variant | s m sm m j mj h s hs |
building | Verbundindex |
bvnumber | BV041293961 |
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collection | ZDB-2-CWD |
ctrlnum | (OCoLC)874367388 (DE-599)BVBBV041293961 |
discipline | Informatik |
doi_str_mv | 10.1007/978-1-4302-4873-6 |
format | Electronic eBook |
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illustrated | Not Illustrated |
indexdate | 2025-02-20T06:50:13Z |
institution | BVB |
isbn | 9781430248736 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-026742892 |
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physical | online resource |
psigel | ZDB-2-CWD |
publishDate | 2013 |
publishDateSearch | 2013 |
publishDateSort | 2013 |
publisher | Apress Imprint: Apress |
record_format | marc |
spellingShingle | Mohanty, Soumendra Jagadeesh, Madhu Srivatsa, Harsha Big Data Imperatives Enterprise Big Data Warehouse, BI Implementations and Analytics Data-Warehouse-Konzept (DE-588)4406462-7 gnd Big Data (DE-588)4802620-7 gnd Business Intelligence (DE-588)4588307-5 gnd |
subject_GND | (DE-588)4406462-7 (DE-588)4802620-7 (DE-588)4588307-5 |
title | Big Data Imperatives Enterprise Big Data Warehouse, BI Implementations and Analytics |
title_auth | Big Data Imperatives Enterprise Big Data Warehouse, BI Implementations and Analytics |
title_exact_search | Big Data Imperatives Enterprise Big Data Warehouse, BI Implementations and Analytics |
title_full | Big Data Imperatives Enterprise Big Data Warehouse, BI Implementations and Analytics by Soumendra Mohanty, Madhu Jagadeesh, Harsha Srivatsa |
title_fullStr | Big Data Imperatives Enterprise Big Data Warehouse, BI Implementations and Analytics by Soumendra Mohanty, Madhu Jagadeesh, Harsha Srivatsa |
title_full_unstemmed | Big Data Imperatives Enterprise Big Data Warehouse, BI Implementations and Analytics by Soumendra Mohanty, Madhu Jagadeesh, Harsha Srivatsa |
title_short | Big Data Imperatives |
title_sort | big data imperatives enterprise big data warehouse bi implementations and analytics |
title_sub | Enterprise Big Data Warehouse, BI Implementations and Analytics |
topic | Data-Warehouse-Konzept (DE-588)4406462-7 gnd Big Data (DE-588)4802620-7 gnd Business Intelligence (DE-588)4588307-5 gnd |
topic_facet | Data-Warehouse-Konzept Big Data Business Intelligence |
url | https://doi.org/10.1007/978-1-4302-4873-6 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026742892&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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