The Enterprise Big Data Framework : Building Critical Capabilities to Win in the Data Economy / Jan-Willem Middelburg.
Transform enterprise Big Data into valuable assets with this comprehensive guide to data analysis, data engineering, algorithm design and data architecture.
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Online Access: |
Full Text (via ProQuest) |
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Main Author: | |
Format: | Electronic eBook |
Language: | English |
Published: |
London ; New York, NY :
Kogan Page,
2024.
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Subjects: |
MARC
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100 | 1 | |a Middelburg, Jan-Willem. | |
245 | 1 | 4 | |a The Enterprise Big Data Framework : |b Building Critical Capabilities to Win in the Data Economy / |c Jan-Willem Middelburg. |
264 | 1 | |a London ; |a New York, NY : |b Kogan Page, |c 2024. | |
264 | 4 | |c ©2024 | |
300 | |a 1 online resource (497 p.) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
504 | |a Includes bibliographical references and index. | ||
505 | 0 | |a Cover -- Contents -- Acknowledgements -- PART ONE Introduction to Big Data -- 01 Introduction to Big Data -- 1.1 Big Data in a world of big decisions -- 1.2 Defining Big Data -- 1.3 Big Data complexities and focus areas -- 1.4 The Big Data Value Chain -- Notes -- 02 The State of Big Data in Today's Organizations -- 2.1 The four dimensions of Big Data -- 2.2 Key characteristics of Big Data -- 2.3 Batch processing vs. stream processing -- 2.4 Big Data types and data structures -- 2.5 Storing unstructured data -- 2.6 Current challenges in Big Data organizations -- Notes | |
505 | 8 | |a 03 Win in the Data Economy -- 3.1 The data economy -- integrating Big Data, cloud, IoT and AI -- 3.2 The Internet of Things and Big Data -- 3.3 Cloud computing and Big Data -- 3.4 Artificial intelligence and Big Data -- Notes -- PART TWO The Enterprise Big Data Framework -- 04 The Enterprise Big Data Framework -- 4.1 Introduction to the Big Data Framework -- 4.2 The six capabilities of the Enterprise Big Data Framework -- 4.3 Working with capability models -- 4.4 Macro- and micro-capabilities -- 4.5 The Enterprise Big Data Framework Capability Maturity Model -- Notes | |
505 | 8 | |a PART THREE Defining a Big Data Strategy -- 05 Big Data Strategy -- 5.1 Introduction to Big Data strategy -- 5.2 Purpose and structure of a Big Data strategy -- 5.3 Barriers to an effective Big Data strategy -- 5.4 Examples of effective Big Data strategies -- 5.5 Big Data strategy: a leadership responsibility -- Notes -- 06 Strategy Formulation -- 6.1 Introduction to strategy formulation -- 6.2 Purpose and maturity levels of strategy formulation -- 6.3 Building strategy formulation capabilities -- 6.4 Strategy formulation summary -- Notes -- 07 Innovation Management | |
505 | 8 | |a 7.1 Introduction to innovation management -- 7.2 Purpose and maturity levels of innovation management -- 7.3 Structuring data-driven innovation management -- 7.4 Innovation management summary -- Notes -- 08 Leadership and Governance -- 8.1 Introduction to leadership and governance -- 8.2 Purpose and maturity levels of leadership and governance -- 8.3 Structuring leadership and governance -- 8.4 Leadership and governance summary -- Notes -- 09 Communication -- 9.1 Introduction to communication -- 9.2 Purpose and maturity levels of communication -- 9.3 Structuring communication | |
505 | 8 | |a 9.4 Communication summary -- Notes -- 10 Sustainability -- 10.1 Introduction to sustainability -- 10.2 Purpose and maturity levels of sustainability -- 10.3 Structuring sustainability -- 10.4 Sustainability summary -- Notes -- 11 Programme Funding -- 11.1 Introduction to programme funding -- 11.2 Purpose and maturity levels of programme funding -- 11.3 Structuring programme funding -- 11.4 Programme funding summary -- Note -- 12 Big Data Strategy Maturity Assessment -- PART FOUR Designing a Big Data Architecture -- 13 Big Data Architecture -- 13.1 Introduction to Big Data architecture | |
500 | |a 13.2 Fundamental structure of Big Data architecture | ||
520 | |a Transform enterprise Big Data into valuable assets with this comprehensive guide to data analysis, data engineering, algorithm design and data architecture. | ||
588 | |a Description based on online resource; title from digital title page (viewed on December 15, 2023). | ||
650 | 0 | |a Business |x Data processing. | |
650 | 0 | |a Data mining |x Industrial applications. | |
650 | 0 | |a Business intelligence. | |
758 | |i has work: |a ENTERPRISE BIG DATA FRAMEWORK (Text) |1 https://id.oclc.org/worldcat/entity/E39PCXyY9jrGddBh9xcwjddBk8 |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
776 | 0 | 8 | |i Print version: |a Middelburg, Jan-Willem |t The Enterprise Big Data Framework |d London : Kogan Page, Limited,c2023 |z 9781398601710 |
856 | 4 | 0 | |u https://ebookcentral.proquest.com/lib/ucb/detail.action?docID=30821252 |z Full Text (via ProQuest) |
915 | |a 7 | ||
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952 | f | f | |p Can circulate |a University of Colorado Boulder |b Online |c Online |d Online |e HF5548.2 .M54 2024 |h Library of Congress classification |i web |