The Enterprise Big Data Framework Edition: Date: Price: ISBN Paperback: ISBN Ebook: Pages: Format (mm): Product Category: Subject:
1 03/09/2022 £49.99 9781398601710 9781398601727 568 240x170 Supplementary Text/ Professional Information, Knowledge & Data Management
This book
on the enterprise implementation of the big data framework, covering analysis, « Focuses engineering, algorithm design and architecture « Offers a vendor-independent approach to transforming massive quantities of data into value detailed data analysis and data engineering techniques for anyone who wants a deep « Covers understanding of big data readers understand the core concepts and techniques that underpin the somewhat abstract « Helps concept of big data « Online resources: sample data for practice purposes
Description Businesses who can make sense of the huge influx and complexity of data will be the big winners in the information economy. Learning how to fully leverage, analyze and integrate big data can help companies reduce costs, increase operating margins and add income. 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 business implementation, The Enterprise Big Data Framework includes sections on analysis, engineering, algorithm design and big data architecture, and covers topics such as data preparation and presentation, data modelling, data science, programming languages and machine learning algorithms. 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.
Author Information Jan-Willem Middelburg is the CEO and cofounder of Cybiant, based in Kuala Lumpur, Malaysia. With Cybiant he helps to create a more sustainable world through analytics, big data and automation, developing algorithms and employing data scientists to unearth patterns and information. He is also President and Chief Examiner of the Enterprise Big Data Framework, an independent organization dedicated to upskilling individuals with expertise in Big Data. In partnership with APMG-International, the Enterprise Big Data Framework offers vendor-neutral certifications for individuals.
Table of Contents 1 1 2 3 4 5 6 7 8 2 9 10 11 12 13 14 3 15 16 17 18 19 20 21
46
Business, Finance, Risk, Information Management
Introduction to Big Data Introduction to Big Data The Big Data framework Big Data strategy Big Data architecture Big Data algorithms Big Data processes Big Data functions Artificial intelligence Enterprise Big Data analysis Introduction to Big Data analysis Defining the business objective Data ingestion – importing and reading data sets Data preparation – cleaning and wrangling data Data analysis – model building Data presentation Enterprise Big Data engineering Introduction to Big Data engineering Data modelling Constructing the data lake Building an enterprise Big Data warehouse Design and structure of Big Data pipelines Managing data pipelines Cluster technology
4 22 23 24 25 26 27 28 29 5 30 31 32 33 34 35 36
enterprise Big Data algorithm design Introduction to Big Data algorithm design Algorithm design – fundamental concepts Statistical machine learning algorithms The data science roadmap Programming languages 26 visualization and simple metrics Advanced machine learning algorithms Advanced machine learning classification algorithms Technical communication and documentation Enterprise Big Data architecture Introduction to the Big Data architecture Strength and resilience – the Big Data platform Design principles for Big Data architecture Big Data infrastructure Big Data platforms The Big Data application provider System orchestration in Big Data
Information, Knowledge & Data Management
