Название: VMware vSAN 7.0 U3 Deep Dive
Автор: Hogan C., Epping D.
Издательство: Cormac Hogan and Duncan Epping
Год: 2022
Формат: pdf
Страниц: 604
Размер: 25 mb
Язык: английский

VMware’s vSAN has rapidly proven itself in environments ranging from hospitals to oil rigs to e-commerce platforms and is the top player in the hyperconverged space. Along the way, it has matured to offer unsurpassed features for data integrity, availability, space efficiency, stretched clustering, and cloud native storage services. vSAN 7.0 U3 has radically simplified IT operations and supports the transition to hyperconverged infrastructures (HCI). The authors of the vSAN Deep Dive have thoroughly updated their definitive guide to this transformative technology. Writing for vSphere administrators, architects, and consultants, Cormac Hogan, and Duncan Epping explain what vSAN is, how it has evolved, what it now offers, and how to gain maximum value from it. The book offers expert insight into preparation, installation, configuration, policies, provisioning, clusters, architecture, and more. You’ll also find practical guidance for using all data services (including vSAN File Service), stretched clusters, two-node configurations, and cloud-native storage services.

Название: Computing from the Command Line: Linux command line tools and Shell Scripting for beginner to intermediate level users
Автор: Sundeep Agarwal
Издательство: Leanpub
Год: 2022-11-01
Страниц: 203
Язык: английский
Формат: pdf (true), mobi, epub
Размер: 10.2 MB

This ebook aims to teach Linux command line tools and Shell Scripting for beginner to intermediate level users. The main focus is towards managing your files and performing text processing tasks. Plenty of examples and exercises are provided to make it easier to understand a particular tool and its various features. This ebook aims to teach Linux command line tools and Shell Scripting for beginner to intermediate level users. The main focus is towards managing your files and performing text processing tasks. Plenty of examples are provided to make it easier to understand a particular tool and its various features. Exercises at the end of chapters will help you practice what you've learned and solutions are provided for reference.

Название: Data Cleaning: The Ultimate Practical Guide - From Dirty Data to Clean Data
Автор: Lee Baker
Издательство: Leanpub
Год: 2022-11-08
Язык: английский
Формат: pdf, mobi, epub + Extras
Размер: 10.2 MB

Data Cleaning: The Ultimate Practical Guide is a guide to understanding what dirty data is, and how it gets into your dataset. Data cleaning is the process of transforming dirty data into clean data. That is, identifying inaccurate, incomplete and inconsistent data to improve the quality of your dataset until it is clean enough to be stored (in a database) or to be analysed (in a spreadsheet or a stats program). The term ‘clean data’ refers to the correctness and validity of the data themselves, but not to how useful the data are to your study. This book will help you prevent most types of dirty data getting into your dataset, and clean out quickly and efficiently the remaining errors, so you can have clean, fit-for-purpose and analysis-ready data.

Название: Building an Azure DevOps Pipeline for Infrastructure
Автор: Adam Bertram
Издательство: Leanpub
Год: 2022-11-12
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

If you ever wanted to see what building an entire Azure DevOps pipeline is like, here’s your chance. This Project will start from scratch building an Azure VM via an Azure Resource Manager (ARM) template stored in a GitHub repository and upon any change, will deploy a new Azure VM, run all required tests and tear down any test infrastructure built. When you search online, you will find various blog posts, documentation, and tutorials on Azure DevOps. These items are valuable resources but rarely does one walk you through a real-world scenario. Many skim over the security aspect leaving passwords in clear text for simplicity or an end product that essentially does nothing. Let's change that. In this project, you'll learn from soup to nuts how to build a real Azure DevOps release pipeline that automates infrastructure. You'll learn to use Azure DevOps to build a continuous deployment pipeline to provision Azure virtual machines. By the end of this project, you will have a fully-functioning Azure pipeline.

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.