Название: Big Data and Mobility as a Service
Автор: Haoran Zhang, Xuan Song
Издательство: Elsevier
Год: 2022
Страниц: 308
Язык: английский
Формат: pdf (true)
Размер: 62.7 MB

Big Data and Mobility as a Service explores MaaS platforms that can be adaptable to the ever-evolving mobility environment. It looks at multi-mode urban crowd data to assess urban mobility characteristics, their shared transportation potential, and their performance conditions and constraints. The book analyzes the roles of multimodality, travel behavior, urban mobility dynamics and participation. Combined with insights on using Big Data to analyze market and policy decisions, this book is an essential tool for urban transportation management researchers and practitioners. Big Data is made up of larger, complex datasets that originate from increasingly new sources of data. These datasets are so massive that the abilities of traditional data processing software are insufficient to manage them.

Название: Driving Digital Transformation Through Data and AI: A Practical Guide to Delivering Data Science and Machine Learning Products
Автор: Alexander Borek, Nadine Prill
Издательство: Kogan Page
Год: 2020
Страниц: 265
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Leading tech companies such as Netflix, Amazon and Uber use data science and Machine Learning at scale in their core business processes, whereas most traditional companies struggle to expand their machine learning projects beyond a small pilot scope. This book enables organizations to truly embrace the benefits of digital transformation by anchoring data and AI products at the core of their business.

Название: Command line text processing with GNU Coreutils
Автор: Sundeep Agarwal
Издательство: Leanpub
Год: 2021-10-08
Страниц: 111
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

You might be already aware of popular coreutils commands like head, tail, tr, sort, etc. This book will teach you more than twenty of such specialized text processing tools provided by the GNU coreutils package. Any beginner learning Linux command line tools would come across cat within the first week. Sooner or later, they'll come to know popular text processing tools like grep, head, tail, tr, sort, etc. If you were like me, you'd come across sed and awk, shudder at their complexity and prefer to use a scripting language like Perl and text editors like Vim instead (don't worry, I've already corrected that mistake). Knowing power tools like grep, sed and awk can help solve most of your text processing needs.

Название: Exam Ref MD-101 Managing Modern Desktops, 2nd Edition
Автор: Andrew Bettany, Andrew Warren
Издательство: Microsoft Press/Pearson Education
Год: 2022
Страниц: 288
Язык: английский
Формат: epub
Размер: 48.7 MB

Prepare for Microsoft Exam MD-101―and help demonstrate your real-world mastery of skills and knowledge required to manage modern Windows 10 desktops. Designed for Windows administrators, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified Associate level. Exam MD-101 focuses on knowledge needed to plan a Windows 10 deployment; plan and implement Windows 10 with Windows Autopilot and MDT; manage accounts, VPN connections, and certificates; implement device compliance policies; configure device profiles; manage user profiles etc.

Название: Data Processing and Modeling with Hadoop: Mastering Hadoop Ecosystem Including ETL, Data Vault, DMBok, GDPR, and Various Data-Centric Tools
Автор: Vinicius Aquino do Vale
Издательство: BPB Publications
Год: 2022
Страниц: 358
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Understand data in a simple way using a data lake. The book 'Data Processing and Modeling with Hadoop' explains how a distributed system works and its benefits in the big data era in a straightforward and clear manner. After reading the book, you will be able to plan and organize projects involving a massive amount of data. The book describes the standards and technologies that aid in data management and compares them to other technology business standards. The reader receives practical guidance on how to segregate and separate data into zones, as well as how to develop a model that can aid in data evolution. It discusses security and the measures that are utilized to reduce the impact of security. Self-service analytics, Data Lake, Data Vault 2.0, and Data Mesh are discussed in the book.

Название: Modern Analytics Platforms: The Journey to Enterprise Agility
Автор: George Mount
Издательство: O’Reilly Media, Inc.
Год: 2021-10-12
Язык: английский
Формат: epub
Размер: 10.2 MB

As opposed to earlier analytics strategies, IT professionals now seek to collect data as is from any possible source of value. This data can be in a variety of formats, so few predefined rules or relationships are established for ingestion. Depending on the data size, data is processed in batch over discrete time periods, or in streams and events near real time. Because data cleaning is the last step, this process is sometimes referred to as extract-load-transform (ELT), as opposed to the ETL of earlier architectures. For data scientists and other technical professionals, faster access to more and more dynamic data better enables the rapid development of training sets of data for Machine Learning models. The ELT process allows for the construction of Machine Learning models, where computers are able to improve performance as more data is passed to them.

Название: Building the New Economy: Data as Capital
Автор: Alex Pentland, Alexander Lipton, Thomas Hardjono
Издательство: The MIT Press
Год: 2021
Страниц: 457
Язык: английский
Формат: epub
Размер: 10.1 MB

How to empower people and communities with user-centric data ownership, transparent and accountable algorithms, and secure digital transaction systems. Data is now central to the economy, government, and health systems—so why are data and the AI systems that interpret the data in the hands of so few people? Building the New Economy calls for us to reinvent the ways that data and Artificial Intelligence are used in civic and government systems. Arguing that we need to think about data as a new type of capital, the authors show that the use of data trusts and distributed ledgers can empower people and communities with user-centric data ownership, transparent and accountable algorithms, Machine Learning fairness principles and methodologies, and secure digital transaction systems.

Название: Linux Administration: A Beginner's Guide, Eighth Edition
Автор: Wale Soyinka
Издательство: McGraw-Hill Education
Год: 2020
Страниц: 689
Язык: английский
Формат: pdf (true), epub
Размер: 29.5 MB, 45.3 MB

Gain Essential Linux Administration Skills Easily. Effectively set up and manage popular Linux distributions on individual servers and build entire network infrastructures using this practical resource. Fully updated to cover the latest tools and techniques, Linux Administration: A Beginner’s Guide, Eighth Edition features clear explanations, step-by-step instructions, and real-world examples. Find out how to configure hardware and software, work from the command line or GUI, maintain Internet and network services, and secure your data. Performance tuning, virtualization, containers, software management, security, and backup solutions are covered in detail.

Название: Data Analysis with Microsoft Power BI
Автор: Brian Larson
Издательство: McGraw-Hill Education
Год: 2020
Формат: true pdf, epub
Страниц: 544
Размер: 25.2 Mb, 38.2 Mb
Язык: English

Explore, create, and manage highly interactive data visualizations using Microsoft Power BI
Extract meaningful business insights from your disparate enterprise data using the detailed information contained in this practical guide. Written by a recognized BI expert and bestselling author, Data Analysis with Microsoft Power BI teaches you the skills you need to interact with, author, and maintain robust visualizations and custom data models. Hands-on exercises based on real-life business scenarios clearly demonstrate each technique. Publishing your results to the Power BI Service (PowerBI.com) and Power BI Report Server are also fully covered.

Название: A Closer Look at Big Data Analytics
Автор: R. Anandan
Издательство: Nova Science Publishers, Inc.
Год: 2021
Страниц: 378
Язык: английский
Формат: pdf (true)
Размер: 12.8 MB

The main objective of this book is to write about issues, challenges, opportunities, and solutions in novel research projects about Big Data in various domains. The topics of interest include, but are not limited to: efficient storage, management and sharing large scale of data; novel approaches for analyzing data using big data technologies; implementation of high performance and/or scalable and/or real-time computation algorithms for analyzing Big Data; usage of various data sources like historical data, social networking media, machine data and crowd-sourcing data; using machine learning, visual analytics, data mining, spatio-temporal data analysis and statistical inference in different domains (with large scale datasets); Legal and ethical issues and solutions for using, sharing and publishing large datasets; and the results of data analytics, security and privacy issues.