Название: Handbook of Big Data Analytics : Applications in ICT, Security and Business Analytics, Volume 2
Автор: Vadlamani Ravi, Aswani Cherukuri
Издательство: The Institution of Engineering and Technology
Год: 2021
Страниц: 419
Язык: английский
Формат: pdf (true)
Размер: 14.2 MB

Big Data analytics is the complex process of examining big data to uncover information such as correlations, hidden patterns, trends and user and customer preferences, to allow organizations and businesses to make more informed decisions. The second volume is dedicated to a wide range of applications in secure data storage, privacy-preserving, Software Defined Networks (SDN), Internet of Things (IoTs), behaviour analytics, traffic predictions, gender based classification on e-commerce data, recommender systems, Big Data regression with Apache Spark, visual sentiment analysis, wavelet Neural Network via GPU, stock market movement predictions, and financial reporting.

Название: Handbook of Big Data Analytics : Methodologies, Volume 1
Автор: Vadlamani Ravi, Aswani Kumar Cherukuri
Издательство: The Institution of Engineering and Technology
Год: 2021
Страниц: 390
Язык: английский
Формат: pdf (true)
Размер: 11.8 MB

Big Data analytics is the complex process of examining Big Data to uncover information such as correlations, hidden patterns, trends and user and customer preferences, to allow organizations and businesses to make more informed decisions. These methods and technologies have become ubiquitous in all fields of science, engineering, business and management due to the rise of data-driven models as well as data engineering developments using parallel and distributed computational analytics frameworks, data and algorithm parallelization, and GPGPU programming. However, there remain potential issues that need to be addressed to enable Big Data processing and analytics in real time.

Название: Foundations of Data Intensive Applications: Large Scale Data Analytics under the Hood
Автор: Supun Kamburugamuve, Saliya Ekanayake
Издательство: Wiley
Год: 2021
Страниц: 415
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Peek “Under The Hood” of Big Data Analytics. The world of big data analytics grows ever more complex. And while many people can work superficially with specific frameworks, far fewer understand the fundamental principles of large-scale, distributed data processing systems and how they operate. In Foundations of Data Intensive Applications: Large Scale Data Analytics under the Hood, renowned big-data experts and computer scientists Drs. Supun Kamburugamuve and Saliya Ekanayake deliver a practical guide to applying the principles of Big Data to software development for optimal performance.

Название: Data Science and Innovations for Intelligent Systems: Computational Excellence and Society 5.0
Автор: Kavita Taneja, Harmunish Taneja, Kuldeep Kumar
Издательство: CRC Press
Год: 2022
Страниц: 385
Язык: английский
Формат: pdf (true)
Размер: 24.6 MB

Data science is an emerging field and innovations in it need to be explored for the success of society 5.0. This book not only focuses on the practical applications of data science to achieve computational excellence, but also digs deep into the issues and implications of intelligent systems. This book highlights innovations in data science to achieve computational excellence that can optimize performance of smart applications. The book focuses on methodologies, framework, design issues, tools, architectures, and technologies necessary to develop and understand data science and its emerging applications in the present era.

Название: Managing Data Quality: A practical guide
Автор: Tim King, Julian Schwarzenbach
Издательство: BCS, The Chartered Institute for IT
Год: 2020
Страниц: 161
Язык: английский
Формат: pdf (true), epub
Размер: 13.6 MB

Data is an increasingly important business asset and enabler for organisational activities. Data quality is a key aspect of data management and failure to understand it increases organisational risk and decreases efficiency and profitability. This book explains data quality management in practical terms, focusing on three key areas - the nature of data in enterprises, the purpose and scope of data quality management, and implementing a data quality management system, in line with ISO 8000-61.

Название: Entrepreneurship and Big data: The Digital Revolution
Автор: Meghna Chhabra, Rohail Hassan
Издательство: CRC Press
Серия: Big Data for Industry 4.0
Год: 2022
Страниц: 301
Язык: английский
Формат: pdf (true)
Размер: 15.6 MB

The digital age has transformed business opportunities and strategies in a resolutely practical and data-driven project universe. This book is a comprehensive and analytical source on entrepreneurship and Big Data that prospective entrepreneurs must know before embarking upon an entrepreneurial journey in this present age of digital transformation.

Название: Fundamentals of Data Science
Автор: Sanjeev J. Wagh, Manisha S. Bhende, Anuradha D. Thakare
Издательство: CRC Press
Год: 2022
Страниц: 297
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Data Science is an umbrella term for the non-traditional techniques and technologies that are required to collect, aggregate, process, and gain insights from massive datasets. This book offers all the processes, methodologies, various steps like data acquisition, pre-process, mining, prediction, and visualization tools for extracting insights from vast amounts of data by the use of various scientific methods, algorithms, and processes. Readers will learn the steps necessary to create the application with SQl, NoSQL, Python, R, Matlab, Octave and Tablue.

Название: Minding the Machines: Building and Leading Data Science and Analytics Teams
Автор: Jeremy Adamson
Издательство: Wiley
Год: 2021
Страниц: 205
Язык: английский
Формат: epub
Размер: 10.3 MB

Organize, plan, and build an exceptional data analytics team within your organization. In Minding the Machines: Building and Leading Data Science and Analytics Teams, AI and analytics strategy expert Jeremy Adamson delivers an accessible and insightful roadmap to structuring and leading a successful analytics team. The book explores the tasks, strategies, methods, and frameworks necessary for an organization beginning their first foray into the analytics space or one that is rebooting its team for the umpteenth time in search of success.

Название: Snowflake: The Definitive Guide: Architecting, Designing, and Deploying on the Snowflake Data Cloud (Early Release)
Автор: Joyce Kay Avila
Издательство: O’Reilly Media, Inc.
Год: 2021-08-04
Язык: английский
Формат: pdf, rtf, epub
Размер: 10.1 MB

Snowflake's ability to eliminate data silos and run workloads from a single platform creates opportunities to democratize data analytics, allowing users at all levels within an organization to make data-driven decisions. This clear, comprehensive guide will show you how to build integrated data applications and develop new revenue streams based on data. The author deftly unravels complex topics, provides hands-on SQL examples, and reveals how you can use the Snowflake Data Cloud to avoid replatforming or migrating data unnecessarily.

Название: Apache Spark: Invent The Future
Автор: Ernesto Lee
Издательство: Independently published
Год: 2021
Страниц: 482
Язык: английский
Формат: epub
Размер: 10.1 MB

Learn how to leverage the power of Apache Spark to perform data processing tasks on very large data sets or distribute data processing functions across different computers but have no clue how to use it well because you don’t even understand what Apache Spark is all about? And do you want to quickly learn the art of writing efficient big data applications with Apache Spark and are looking for a guide that will take away the guesswork on how you can program with Scala, fully aware of its inner workings?