"This text should be required reading for everyone in contemporary business."
--Peter Woodhull, CEO, Modus21
"The one book that clearly describes and links Big Data concepts to business utility."
--Dr. Christopher Starr, PhD
"Simply, this is the best Big Data book on the market!"
--Sam Rostam, Cascadian IT Group
"...one of the most contemporary approaches I've seen to Big Data fundamentals..."
--Joshua M. Davis, PhD
The Definitive Plain-English Guide to Big Data for Business and Technology Professionals
Big Data Fundamentals provides a pragmatic, no-nonsense introduction to Big Data. Best-selling IT author Thomas Erl and his team clearly explain key Big Data concepts, theory and terminology, as well as fundamental technologies and techniques. All coverage is supported with case study examples and numerous simple diagrams.
The authors begin by explaining how Big Data can propel an organization forward by solving a spectrum of previously intractable business problems. Next, they demystify key analysis techniques and technologies and show how a Big Data solution environment can be built and integrated to offer competitive advantages.
- Discovering Big Data's fundamental concepts and what makes it different from previous forms of data analysis and data science
- Understanding the business motivations and drivers behind Big Data adoption, from operational improvements through innovation
- Planning strategic, business-driven Big Data initiatives
- Addressing considerations such as data management, governance, and security
- Recognizing the 5 "V" characteristics of datasets in Big Data environments: volume, velocity, variety, veracity, and value
- Clarifying Big Data's relationships with OLTP, OLAP, ETL, data warehouses, and data marts
- Working with Big Data in structured, unstructured, semi-structured, and metadata formats
- Increasing value by integrating Big Data resources with corporate performance monitoring
- Understanding how Big Data leverages distributed and parallel processing
- Using NoSQL and other technologies to meet Big Data's distinct data processing requirements
- Leveraging statistical approaches of quantitative and qualitative analysis
- Applying computational analysis methods, including machine learning
Über den Autor Thomas Erl
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Thomas Erl is a best-selling IT author and series editor of the Pearson Digital Enterprise Series from Thomas Erl. Thomas has authored and co-authored 15 books published by Pearson Education and Prentice Hall dedicated to contemporary business technology and practices. You can find Thomas on the Thomas Erl YouTube channel (youtube.com/@terl). He is also the host of the Real Digital Transformation podcast series (available via Spotify, Apple, Google Podcasts, and most other platforms) and also publishes the weekly LinkedIn newsletter The Digital Enterprise. Over 100 articles and interviews by Thomas have been published in numerous publications, including CEO World, The Wall Street Journal, Forbes, and CIO Magazine. Thomas has also toured over 20 countries as a keynote speaker for various conferences and events. At Arcitura Education (www.arcitura.com), Thomas leads the development of curricula for internationally recognized, vendor-neutral training and accreditation programs. Arcitura's portfolio currently consists of over 100 courses, over 100 Pearson VUE exams, and over 40 certification tracks, covering topics such as Cloud Computing Architecture, Security, and Governance, as well as Digital Transformation, Robotic Process Automation (RPA), DevOps, Blockchain, IoT, Containerization, Machine Learning, Artificial Intelligence (AI), Cybersecurity, Service-Oriented Architecture (SOA), and Big Data Analytics. Thomas is also the founder and senior advisor at Transformative Digital Solutions (www.transformative.digital) and a freelance LinkedIn instructor and courseware author. www.thomaserl.com Eric Barceló Monroy is an IT professional with extensive experience in IT strategic planning, operational and administrative process reengineering, system implementation project management, and IT operations. He has a proven track record of implementing systems that exceed user expectations while reducing costs and improving response times. He has held various high-level positions in both the private and public sectors, including Director of Information Technology at Farmacéuticos MAYPO, a pharmaceutical distributor; Vice-president of Telecommunications and Technology Operations at iExplore, an internet-based adventure travel agency; and Director of Information Technology and Telecommunications at the Ministry of Education in Tabasco, Mexico, where he oversaw the implementation of telecommunication networks among schools and develops and delivers computer literacy training programs for faculty. Additionally, he is a partner and Technical Consulting Director at EGN, a cloud technology consulting and training firm, where he provides IT consultancy on state of-theart topics like Big Data, Cloud Computing, Virtualization, Advanced Networking, and Strategic IT Management. Eric is a Certified Cloud Computing Technology Professional, Certified Cloud Virtualization Specialist, and Certified Cloud Architect, among others. He is also a VMware Certified Professional, Red Hat Certified System Administrator, Red Hat Certified Engineer, and Certified Amazon Web Services Solutions Architect.
