The Enterprise Big Data Framework: Building Critical Capabilities to Win in the Data Economy

The Enterprise Big Data Framework is a comprehensive guide that covers all aspects of transforming enterprise data into value, from strategy formulation to algorithms, architecture, and data governance processes. It offers practical advice on developing data-driven decision-making, detailed data analysis, and data engineering techniques. Endorsed by AMPG International, it provides a capability model for measuring progress and includes sample data for practice purposes.

Format: Paperback / softback
Length: 496 pages
Publication date: 03 November 2023
Publisher: Kogan Page Ltd

The businesses that master the intricate and overwhelming surge of data will emerge as the undisputed champions of the information economy. This comprehensive guide encompasses every facet of converting enterprise data into tangible value, from the initial establishment of a robust big data strategy to the implementation of algorithms, architecture, and data governance processes. Adopting a vendor-neutral approach, The Enterprise Big Data Framework provides practical guidance on how to foster data-driven decision-making, conduct in-depth data analysis, and employ advanced data engineering techniques. With a strong emphasis on practical implementation, The Enterprise Big Data Framework introduces six essential capabilities that every organization can harness to achieve data-driven success. These sections cover strategy formulation, data governance, sustainability, architecture, and algorithms, offering a comprehensive overview of best practices that organizations can leverage to thrive in the data-driven landscape. Throughout the various chapters, the book also introduces a capability model that enables organizations to track their progress. Endorsed by esteemed accreditation and examination institute AMPG International, this book serves as a vital resource for individuals seeking to excel in big data practices across the globe. Additionally, online resources include sample data for practical application.

Weight: 830g
Dimension: 171 x 240 x 29 (mm)
ISBN-13: 9781398601710