Название: Big Data for Big Decisions: Building a Data-Driven Organization
Автор: Krishna Pera
Издательство: CRC Press
Год: 2023
Страниц: 266
Язык: английский
Формат: pdf (true)
Размер: 13.2 MB

Building a data-driven organization (DDO) is an enterprise-wide initiative that may consume and lock up resources for the long term. Understandably, any organization considering such an initiative would insist on a roadmap and business case to be prepared and evaluated prior to approval. This book presents a step-by-step methodology in order to create a roadmap and business case, and provides a narration of the constraints and experiences of managers who have attempted the setting up of DDOs. The emphasis is on the big decisions – the key decisions that influence 90% of business outcomes – starting from decision first and reengineering the data to the decisions process-chain and data governance, so as to ensure the right data are available at the right time, every time.

Название: Knowledge Integration Methods for Probabilistic Knowledge-based Systems
Автор: Van Tham Nguyen, Ngoc Thanh Nguyen, Trong Hieu Tran
Издательство: CRC Press
Год: 2023
Страниц: 203
Язык: английский
Формат: pdf (true)
Размер: 22.5 MB

Today, Artificial Intelligence (AI) has been used in applications to solve specific problems in many fields such as knowledge-based systems (KBS), speech recognition, natural language processing (NLP), artificial vision, robots, neural networks with specific applications such as personalized shopping, AI-powered assistants, fraud prevention, administrative tasks, automated to aid educators, creating smart content, voice assistants, personalized learning, autonomous vehicles. In AI, each KBS is a computer system with the ability to think and make decision as a human expert. They are designed to deal with a large range of problems from Computer Science and engineering to social sciences such as economics, politics, and law. There are several well-known knowledge bases being developed and widely applied, namely DBPedia, Google’s Knowledge Graph, Neil, Open IE, Probase and Yago. When developing knowledge-based systems, several mathematical models such as Bayesian network models and Markov network models have been selected to represent a knowledge base. Recently, Islam et al. used applications of the fuzzy-Bayesian models to build a KBS for the cost overrun risk assessment of the power plant project. Blondet et al. also use Bayesian networks as an inference engine to build a special KBS.

Название: The Cloud Data Lake: A Guide to Building Robust Cloud Data Architecture (Final Release)
Автор: Rukmani Gopalan
Издательство: O’Reilly Media, Inc.
Год: 2023
Страниц: 244
Язык: английский
Формат: epub (true)
Размер: 10.2 MB

More organizations than ever understand the importance of data lake architectures for deriving value from their data. Building a robust, scalable, and performant data lake remains a complex proposition, however, with a buffet of tools and options that need to work together to provide a seamless end-to-end pipeline from data to insights. This book provides a concise yet comprehensive overview on the setup, management, and governance of a cloud data lake. Author Rukmani Gopalan, a product management leader and data enthusiast, guides data architects and engineers through the major aspects of working with a cloud data lake, from design considerations and best practices to data format optimizations, performance optimization, cost management, and governance.

Название: Sybex's Study Guide for Snowflake SnowPro Core Certification: COF-C02 Exam
Автор: Hamid Mahmood Qureshi
Издательство: Sybex
Год: 2023
Страниц: 288
Язык: английский
Формат: pdf (true), epub
Размер: 28.4 MB

Prepare smarter, faster, and better with the premier study guide for Snowflake SnowPro Core certification. Snowflake is a relatively new cloud‐optimized database, designed primarily for data warehousing solutions on the cloud. Snowflake was designed from the ground up as a cloud‐only data warehouse platform. A significant advantage of the Snowflake platform compared to other data warehouses is its differentiated architecture. Snowflake takes full advantage of the underlying cloud platform's novel features. The outcome is a hybrid architecture in which the computation or processing layer can be scaled independently of the storage layer. Snowflake's hybrid architecture also brings out a unique array of features not seen in many other databases, introducing concepts such as zero‐copy cloning, Time Travel, and secure data sharing.

Название: Everyday Enterprise Architecture: Sense-making, Strategy, Structures, and Solutions
Автор: Tom Graves
Издательство: Apress
Год: 2023
Страниц: 227
Язык: английский
Формат: epub (true)
Размер: 10.2 MB

Discover what needs to happen in enterprise-architecture practice—and not just its outcomes, but also the activities from which those outcomes would arise. This book reveals how business and enterprise architects can deliver fast solutions to an always-on-the-go business world. To begin, you'll review a new technique called "context-space mapping," which provides a structured method for sense-making across the entire context of an enterprise. Throughout the book, you'll concentrate on the routine practices that underpin each of the architecture disciplines.

Название: Capitalizing Data Science: A Guide to Unlocking the Power of Data for Your Business and Products
Автор: Mathangi Sri Ramachandran
Издательство: BPB Publications
Год: 2023
Страниц: 229
Язык: английский
Формат: epub (true)
Размер: 10.2 MB

Unlock the Potential of Data Science and Machine Learning to Your Business and Organization. Can you foresee how your company and its products will benefit from data science? How can the results of using AI and ML in business be tracked and questioned? Do questions like ‘how do you build a data science team?’ keep popping into your head?
All these strategic concerns and challenges are addressed in this book. Firstly, the book explores the evolution of decision-making based on empirical evidence. The book then helps compare the data-supported era with the current data-led era. It also discusses how to successfully run a Data Science project, the lifecycle of a data science project, and what it looks like. The book dives fairly in-depth into various today's data-led applications, highlights example datasets, discusses obstacles, and explains Machine Learning models and algorithms intuitively.

Название: Artificial Intelligence and Blockchain in Digital Forensics
Автор: P. Karthikeyan, Hari Mohan Pandey, Velliangiri Sarveshwaran
Издательство: River Publishers/Routledge
Год: 2023
Страниц: 297
Язык: английский
Формат: pdf (true)
Размер: 24.3 MB

Digital forensics is the science of detecting evidence from digital media like a computer, smart phone, server, or network. It provides the forensic team with the most beneficial methods to solve confused digital-related cases. Artificial Intelligence (AI) and Blockchain can be applied to solve online predatory chat cases and photo forensics cases, provide network service evidence, custody of digital files in forensic medicine, and identify roots of data scavenging. We can use AI and blockchain design frameworks to make the digital forensic process efficient and straightforward. AI features help determine the contents of a picture, detect spam email messages and recognize swatches of hard drives that could contain suspicious files. Blockchain-based lawful evidence management schemes can supervise the entire evidence flow of all of the court data. Deep Learning is an essential part of Data Science because it supports predictive analytics and allows data scientists to rapidly and cheaply gather, organize, analyze, and understand massive quantities of data.

Название: Macs All-in-One For Dummies, 6th Edition
Автор: Paul McFedries
Издательство: For Dummies
Год: 2023
Страниц: 803
Язык: английский
Формат: pdf (true)
Размер: 68.4 MB

The huge reference guide you need to use the full power of your Mac. Macs All-in-One For Dummies truly covers it all. This compete reference guide contains five books in one, so you can learn all your Mac is capable of. You’ll get a complete understanding of your computer, so you can use it for pleasure or business, become a multimedia master, surf the web like a pro, troubleshoot problems as they arise, and so much besides. This latest edition is updated for the newest version of macOS, the hottest apps, and the just-released Macs. Running an older Mac? Don’t worry, this book won’t leave you behind. Everything you need to do on your Mac can be learned with the help of Macs All-in-One For Dummies.

Название: CompTIA Data+ DA0-001 Exam Cram
Автор: Akhil Behl, Siva G. Subramanian
Издательство: Pearson Education, Inc.
Год: 2023
Страниц: 528
Язык: английский
Формат: epub
Размер: 17.7 MB

CompTIA® Data+ DA0-001 Exam Cram is an all-inclusive study guide designed to help you pass the CompTIA Data+ DA0-001 exam. Prepare for test day success with complete coverage of exam objectives and topics, plus hundreds of realistic practice questions. Extensive prep tools include quizzes, Exam Alerts, and our essential last-minute review CramSheet. The powerful Pearson Test Prep practice software provides real-time assessment and feedback with two complete exams. Data comes in various formats and forms, and you will get to know more about them in Chapter 3, “Data Types and Types of Data.” Moreover, where and how data is stored and utilized are important aspects of the data life cycle, which is covered in Chapter 1, “Understanding Databases and Data Warehouses,” and Chapter 2, “Understanding Database Schemas and Dimensions.”

Название: How to Think about Data Science
Автор: Diego Miranda-Saavedra
Издательство: CRC Press
Серия: Data Science Series
Год: 2023
Страниц: 300
Язык: английский
Формат: pdf (true)
Размер: 147.8 MB

This book is a timely and critical introduction for those interested in what Data Science is (and isn’t), and how it should be applied. The language is conversational and the content is accessible for readers without a quantitative or computational background; but, at the same time, it is also a practical overview of the field for the more technical readers. The overarching goal is to demystify the field and teach the reader how to develop an analytical mindset instead of following recipes. The book takes the scientist’s approach of focusing on asking the right question at every step as this is the single most important factor contributing to the success of a data science project. Upon finishing this book, the reader should be asking more questions than I have answered. This book is, therefore, a practising scientist’s approach to explaining Data Science through questions and examples.