Orie L. Loucks; O. Homer Erekson; Jan Willem Bol; Raymond F. Gorman; Pamela C. Johnson; Timothy C. Krenbiel Taylor & Francis Inc (1998) Pehmeäkantinen kirja
Kogan Page Ltd Sivumäärä: 496 sivua Asu: Pehmeäkantinen kirja Julkaisuvuosi: 2023, 03.11.2023 (lisätietoa) Kieli: Englanti
Businesses who can make sense of the huge influx and complexity of data will be the big winners in the information economy.
This comprehensive guide covers all the aspects of transforming enterprise data into value, from the initial set-up of a big data strategy, towards algorithms, architecture and data governance processes. Using a vendor-independent approach, The Enterprise Big Data Framework offers practical advice on how to develop data-driven decision making, detailed data analysis and data engineering techniques.
With a focus on practical implementation, The Enterprise Big Data Framework introduces six critical capabilities that every organization can use to become data driven. With sections on strategy formulation, data governance, sustainability, architecture and algorithms, this guide provides a comprehensive overview of best practices organizations can leverage to win in the data economy. Throughout the different sections, the book also introduces a capability model that every organization can use to measure progress. Endorsed by leading accreditation and examination institute AMPG International, this book is required reading for the Enterprise Big Data Certifications, which aim to develop excellence in big data practices across the globe. Online resources include sample data for practice purposes.