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.

Название: Presto: The Definitive Guide: SQL at Any Scale, on Any Storage, in Any Environment
Автор: Matt Fuller, Manfred Moser, Martin Traverso
Издательство: O’Reilly Media
Год: 2020
Формат: True PDF, ePUB
Страниц: 310
Размер: 10 Mb
Язык: English

Perform fast interactive analytics against different data sources using the Presto high-performance, distributed SQL query engine. With this practical guide, you’ll learn how to conduct analytics on data where it lives, whether it’s Hive, Cassandra, a relational database, or a proprietary data store. Analysts, software engineers, and production engineers will learn how to manage, use, and even develop with Presto.

Название: A Step-By-Step Guide to Exploratory Factor Analysis with Stata
Автор: Marley W. Watkins
Издательство: Routledge
Год: 2022
Страниц: 209
Язык: английский
Формат: pdf (true)
Размер: 43.3 MB

This is a concise, easy to use, step-by-step guide for applied researchers conducting exploratory factor analysis (EFA) using Stata. In this book, Dr. Watkins systematically reviews each decision step in EFA with screen shots of Stata code and recommends evidence-based best practice procedures. This is an eminently applied, practical approach with few or no formulas and is aimed at readers with little to no mathematical background. There are many software packages that can be used to conduct exploratory factor analysis (EFA). SPSS, SAS, and Stata are the most popular commercial packages. A review of statistical software used in academic articles found that SPSS was cited most frequently, followed by R, SAS, and Stata. Stata is frequently licensed by colleges and universities so it is widely available to faculty and students. Stata is also accessible via group license and for single users in business, government, and education.

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: Data Science and Data Analytics: Opportunities and Challenges
Автор: Amit Kumar Tyagi
Издательство: CRC Press
Год: 2022
Формат: PDF
Страниц: 483
Размер: 54 Mb
Язык: English

Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured (labeled) and unstructured (unlabeled) data. It is the future of Artificial Intelligence (AI) and a necessity of the future to make things easier and more productive. In simple terms, data science is the discovery of data or uncovering hidden patterns (such as complex behaviors, trends, and inferences) from data. Moreover, Big Data analytics/data analytics are the analysis mechanisms used in data science by data scientists. Several tools, such as Hadoop, R, etc., are used to analyze this large amount of data to predict valuable information and for decision-making.