Название: From Big Data to Intelligent dаta: An Applied PerspectiveАвтор: Fady A. Harfoush
Издательство: Springer
Год: 2021
Страниц: 121
Язык: английский
Формат: pdf (true), epub
Размер: 41.0 MB
Uses simple language and methods to explain complex ideas.
This book addresses many of the gaps in how industry and academia are currently tackling problems associated with Big Data. It introduces novel concepts, describes the end-to-end process, and connects the various pieces of the puzzle to offer a holistic view. In addition, it explains important concepts for a wide audience, using accessible language, diagrams, examples and analogies to do so.
The idea of this book came after recognizing a big gap in how industry and academia tackle the problem of Big Data. Many references are old books in statistics re-published with a new title and slightly modified or added content to fit new trends in the industry. They lack the much-needed practical industry insights. Among my first tasks when I joined academia was to develop a new course in business analytics. I struggled to identify a good resource with an applied industry perspective which addresses some of the most pertinent issues, challenges, and opportunities surrounding big data which I believe are relevant and essential.
By now many have memorized the four Vs of Big Data (Volume, Velocity, Veracity, and Variety) but how do the Vs interact and compete? What about the most important V (later in the book)? We are overwhelmed with the rapid advances in technology and the many tools to choose from such as R, Python, SAS, SQL, NoSQL, Hadoop, Scala, Spark, MapR, Databricks, etc. These are jargons best suited for programmers, systems developers, infrastructure engineers, and technologists. Most associate the topic of Big Data with intelligent information and actionable insights. But what is exactly intelligent information, how to define, how to measure, and how to assess its business value? What is the difference between business intelligence and business analytics? Big Data is not new and many (like me) who worked at national research labs have been dealing with big data for years. What most books fail to address are some of the most compelling challenges and rewards of Big dаta: connecting the dots, building a unified system of systems, and deriving the so-called golden copy.
This book will address many of the missing gaps, introduce some novel concepts, describe the end-to-end process, and connect the various parts of the puzzle for a holistic view. Visuals are used to explain complex ideas with relatively simple diagrams. This book is intended to be a practical guide and a good companion for many in the industry working with large data sets, and those supervising or participating in projects involving big data (irrespective of the job titles!). It is tailored for the generalists who want to see the big picture, understand the process, ask the right questions, and be cognizant of the many pitfalls and the many rewards.
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