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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.

Название: Privacy and Data Protection in Software Services
Автор: Roberto Senigaglia, Claudia Irti
Издательство: Springer
Год: 2022
Страниц: 220
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Discusses developing privacy-compliant software products from the very beginning. The aim of the book is to create a bridge between two ‘lands’ that are usually kept separate: technical tools and legal rules should be bound together for moulding a special ‘toolbox’ to solve present and future issues. The volume is intended to contribute to this ‘toolbox’ in the area of software services, while addressing how to make legal studies work closely with engineers’ and computer scientists’ fields of expertise, who are increasingly involved in tangled choices on daily programming and software development. In this respect, law has not lost its importance and its own categories in the digital world, but as well as any social science needs to experience a new realistic approach amid technological development and individuals’ fundamental rights and freedoms.

Название: Mastering Linux System Administration
Автор: Christine Bresnahan, Richard Blum
Издательство: Sybex
Год: 2021
Страниц: 579
Язык: английский
Формат: pdf (true), epub
Размер: 10.9 MB, 13.0 MB

Achieve Linux system administration mastery with time-tested and proven techniques. In Mastering Linux System Administration, Linux experts and system administrators Christine Bresnahan and Richard Blum deliver a comprehensive roadmap to go from Linux beginner to expert Linux system administrator with a learning-by-doing approach. Organized by do-it-yourself tasks, the book includes instructor materials like a sample syllabus, additional review questions, and slide decks.

Название: Data Lakes For Dummies
Автор: Alan R. Simon
Издательство: For Dummies
Год: 2021
Страниц: 387
Язык: английский
Формат: pdf (true), epub
Размер: 14.5 MB, 12.4 MB

Take a dive into data lakes. “Data lakes” is the latest buzz word in the world of data storage, management, and analysis. Data Lakes For Dummies decodes and demystifies the concept and helps you get a straightforward answer the question: “What exactly is a data lake and do I need one for my business?” Written for an audience of technology decision makers tasked with keeping up with the latest and greatest data options, this book provides the perfect introductory survey of these novel and growing features of the information landscape. It explains how they can help your business, what they can (and can’t) achieve, and what you need to do to create the lake that best suits your particular needs.

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: Quick Start Guide to Azure Data Factory, Azure Data Lake Server, and Azure Data Warehouse
Автор: Mark Beckner
Издательство: De Gruyter
Год: 2019
Страниц: 117
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB, 15.7 MB

With constantly expanding options such as Azure Data Lake Server (ADLS) and Azure SQL Data Warehouse (ADW), how can developers learn the process and components required to successfully move this data? Quick Start Guide to Azure Data Factory, Azure Data Lake Server, and Azure Data Warehouse teaches you the basics of moving data between Azure SQL solutions using Azure Data Factory. Discover how to build and deploy each of the components needed to integrate data in the cloud with local SQL databases.

Название: Developing A Computer Operating System From Scratch: An Attempt To Introduce OS Development At Beginner Level
Автор: Tinu Tom
Издательство:
Год: 2021
Формат: EPUB, PDF
Размер: 42 Мб
Язык: английский / English

The first ever Book trying to introduce Operating System Development to Absolute Beginners where the topic starts from Programming In C , Programming In Assembly to Practical OS Development. This book only uses Simple Methods so that Only Less Topics in Programming In C and Assembly should be covered.