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Название: Big Data Analytics and Intelligent Techniques for Smart Cities
Автор: Kolla Bhanu Prakash, Janmenjoy Nayak, B. T. P. Madhav, Sanjeevikumar Padmanaban, and Valentina Emilia Balas
Издательство: CRC Press
Год: 2022
Формат: PDF
Страниц: 297
Размер: 15,8 Mb
Язык: English


Big Data Analytics and Intelligent Techniques for Smart Cities covers fundamentals, advanced concepts, and applications of big data analytics for smart cities in a single volume.
This comprehensive reference text discusses big data theory modeling and simulation for smart cities and examines case studies in a single volume. The text discusses how to develop a smart city and state-of-the-art system design, system verification, real-time control and adaptation, Internet of Things, and testbeds. It covers applications of smart cities as they relate to smart transportation/connected vehicle (CV) and intelligent transportation systems (ITS) for improved mobility, safety, and environmental protection.

Название: The Language of SQL, 3rd Edition (Rough Cuts)
Автор: Larry Rockoff
Издательство: Pearson
Год: 2021
Формат: ePUB
Страниц: 171
Размер: 10 Mb
Язык: English

The Language of SQL, Second Edition
Many SQL texts attempt to serve as an encyclopedic reference on SQL syntax – an approach that is often counterproductive, because that information is readily available in online references published by the major database vendors.

Название: Handbook of Big Data Analytics : Applications in ICT, Security and Business Analytics, Volume 2
Автор: Vadlamani Ravi, Aswani Kumar 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: SQL Cookbook: Query Solutions and Techniques for All SQL Users, 2nd Edition
Автор: Anthony Molinaro and Robert de Graaf
Издательство: O’Reilly Media
Год: 2021
Формат: True PDF, ePUB
Страниц: 572
Размер: 14 Mb, 10 Mb
Язык: English

You may know SQL basics, but are you taking advantage of its expressive power? This second edition applies a highly practical approach to Structured Query Language (SQL) so you can create and manipulate large stores of data. Based on real-world examples, this updated cookbook provides a framework to help you construct solutions and executable examples in severalflavors of SQL, including Oracle, DB2, SQL Server, MySQL, and PostgreSQL.

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 dаta: 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: Statistics for Managers Using Microsoft Excel, 9th Edition, Global Edition
Автор: David M. Levine, David F. Stephan, Kathryn A. Szabat
Издательство: Pearson
Год: 2021
Формат: PDF
Страниц: 753
Размер: 29 Mb
Язык: English

Statistics for Managers Using Microsoft® Excel®, 9th Edition, Global Edition helps students develop the knowledge of Excel needed in future careers. The authors present statistics in the context of specific business fields, and now include a full chapter on business analytics. Guided by principles set forth by ASA’s Guidelines for Assessment and Instruction (GAISE) reports and the authors’ diverse teaching experiences, the text continues to innovate and improve the way this course is taught to students. Current data throughout gives students valuable practice analysing the types of data they will see in their professions, and the authors’ friendly writing style includes tips and learning aids throughout.