Название: The Discipline of dаta: What Non-Technical Executives Don't Know About Data and Why It's Urgent They Find Out
Автор: Jerald Savin
Издательство: Routledge
Год: 2023
Страниц: 243
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Pulling aside the curtain of ‘Big Data’ buzz, this book introduces C-suite and other non-technical senior leaders to the essentials of obtaining and maintaining accurate, reliable data, especially for decision-making purposes. Bad data begets bad decisions, and an understanding of data fundamentals ― how data is generated, organized, stored, evaluated, and maintained ― has never been more important when solving problems such as the pandemic-related supply chain crisis. The design of this book is to highlight the issues that regularly arise when working with Data. This book is intended to be a reasonably comprehensive enumeration of these issues, their impact on decision-making, and ‘good practices’ that identify effective approaches and techniques to address these issues. The goal of this book is to provide a common language with which to discuss the factors and forces that affect Data, Data Quality, and hence the Quality of our Decisions. Databases are the technical applications designed specifically to hold data. Ever since, SQL has been the standard for transaction processing applications and their data; hence, much of the material in this book refers to SQL. But SQL is not alone. NoSQL was developed to compensate for some of SQL’s limitations.

Название: Maturing the Snowflake Data Cloud: A Templated Approach to Delivering and Governing Snowflake in Large Enterprises
Автор: Andrew Carruthers, Sahir Ahmed
Издательство: Apress
Год: 2023
Страниц: 476
Язык: английский
Формат: pdf
Размер: 16.7 MB

This project-oriented book gives you a hands-on approach to designing, developing, and templating your Snowflake platform delivery. Written by seasoned Snowflake practitioners, the book is full of practical guidance and advice to accelerate and mature your Snowflake journey. Working through the examples helps you develop the skill, knowledge, and expertise to expand your organization’s core Snowflake capability and prepare for later incorporation of additional Snowflake features as they become available. Your Snowflake platform will be resilient, fit for purpose, extensible, and guarantee rapid, consistent, and repeatable, pattern-based deployments ready for application delivery. When a Snowflake account is delivered there are no controls, guard rails, external monitoring, nor governance mechanisms baked in. From a large organization perspective, this book explains how to deliver your core Snowflake platform in the form of a Landing Zone, a consistent, templated approach that assumes familiarity with Snowflake core concepts and principles.

Название: Practical Graph Structures in SQL Server and Azure SQL: Enabling Deeper Insights Using Highly Connected Data
Автор: Louis Davidson
Издательство: Apress
Год: 2023
Страниц: 244
Язык: английский
Формат: pdf (true), epub
Размер: 18.4 MB

Use the graph table features in Azure SQL that were introduced in SQL Server 2017 and further refined in SQL Server 2019. This book shows you how to create data structures to capture complex connections between items in your data. These connections will help you analyze and draw insights from connections in your data that go beyond classic relationships. The graph examples in the book are useful for analyzing social media relationships, complex product-to-customer relationships, and any other type of data analysis in which indirect connections that otherwise might be missed using conventional techniques can be mined for their insight and business value. Tree structures are covered, with emphasis on a structure commonly used by organizations to aggregate data at different levels of an organization. The book provides code examples of SQL Graph objects as well as an alternate tree implementation technique. Included is sample data (and data generators) for you to test for performance and choose the implementation approach that best suits your needs and that of your application.

Название: Операционные системы
Автор: Куль Т. П.
Издательство: РИПО
Год: 2019
Cтраниц: 312 с. : цвет.ил., табл.
Формат: pdf (ocr)
Размер: 36 мб
Язык: русский

В учебном пособии объединены теоретические материалы, практические работы, контрольные вопросы и тестовые задания к каждому разделу учебного предмета «Операционные системы». Все разделы изложены в сжатой, доступной для восприятия форме.

Название: Advances in Data Science and Artificial Intelligence
Автор: Rajiv Misra, Nishtha Kesswani, Muttukrishnan Rajarajan, Bharadwaj Veeravalli
Издательство: Springer
Год: 2023
Страниц: 521
Язык: английский
Формат: pdf (true)
Размер: 15.0 MB

With the intriguing development of technologies in several industries along with the advent of accrescent and ubiquitous computational resources, it creates an ample number of opportunities to develop innovative intelligence technologies in order to solve the wide range of uncertainties, imprecision, and vagueness issues in various real-life problems. Hybridizing modern Computational Intelligence with traditional computing methods has attracted researchers and academicians to focus on developing innovative AI techniques using Data Science. International Conference on Data Science and Artificial Intelligence (ICDSAI) 2022, organized on April 23-24, 2022 by the Indian Institute of Technology, Patna at NITIE Mumbai (India) in collaboration with the International Association of Academicians (IAASSE) USA collected scientific and technical contributions with respect to models, tools, technologies, and applications in the field of modern Artificial Intelligence and Data Science, covering the entire range of concepts from theory to practice, including case studies, works-in-progress, and conceptual explorations. The main conference included over four technical sections that focused on fundamentals of Data Science applications in mechanical engineering, ML and Artificial Intelligence (AI), BOT, Web development, app development.

Название: Data Science with Semantic Technologies: Deployment and Exploration
Автор: Archana Patel, Narayan C. Debnath
Издательство: CRC Press
Год: 2023
Страниц: 246
Язык: английский
Формат: pdf (true)
Размер: 13.2 MB

Gone are the days when data was interlinked with related data by humans and human interpretation was required. Data is no longer just data. It is now considered a Thing or Entity or Concept with meaning, so that a machine not only understands the concept but also extrapolates the way humans do. Data Science with Semantic Technologies: Deployment and Exploration, the second volume of a two-volume handbook set, provides a roadmap for the deployment of semantic technologies in the field of Data Science and enables the user to create intelligence through these technologies by exploring the opportunities and eradicating the challenges in the current and future time frame. In addition, this book offers the answer to various questions like: What makes a technology semantic as opposed to other approaches to Data Science? What is knowledge data science? How does knowledge data science relate to other fields? This book explores the optimal use of these technologies to provide the highest benefit to the user under one comprehensive source and title.

Название: Learn Hadoop in 24 Hours
Автор: Alex Nordeen
Издательство: Independently published
Год: 2021
Страниц: 188
Язык: английский
Формат: pdf, epub
Размер: 10.2 MB

Hadoop has changed the way large data sets are analyzed, stored, transferred, and processed. At such low cost, it provides benefits like supports partial failure, fault tolerance, consistency, scalability, flexible schema, and so on. It also supports cloud computing. More and more number of individuals are looking forward to mastering their Hadoop skills. While initiating with Hadoop, most users are unsure about how to proceed with Hadoop. They are not aware of what are the pre-requisite or data structure they should be familiar with. Or How to make the most efficient use of Hadoop and its ecosystem. To help them with all these queries and other issues this e-book is designed. The book gives insights into many of Hadoop libraries and packages that are not known to many Big data Analysts and Architects.

Название: Modern Vulnerability Management: Predictive Cybersecurity
Автор: Michael Roytman, Ed Bellis
Издательство: Artech House
Год: 2023
Страниц: 237
Язык: английский
Формат: pdf (true)
Размер: 13.9 MB

This book comprehensively covers the principles of Risk-based vulnerability management (RBVM) – one of the most challenging tasks in cybersecurity -- from the foundational mathematical models to building your own decision engine to identify, mitigate, and eventually forecast the vulnerabilities that pose the greatest threat to your organization. You will learn: how to structure data pipelines in security and derive and measure value from them; where to procure open-source data to better your organization’s pipeline and how to structure it; how to build a predictive model using vulnerability data; how to measure the return on investment a model in security can yield; which organizational structures and policies work best, and how to use Data Science to detect when they are not working in security; and ways to manage organizational change around Data Science implementation. Using the many sources of data we have and the mathematical modeling we use to compensate for mathematical scale, randomness, and uncertainty, Machine Learning (ML) offers a quick and efficient way to better prioritize decisions and remediate the vulnerabilities that pose the greatest risk. ML is a classification of Artificial Intelligence in which algorithms automatically improve over time by observing patterns in data and applying those patterns to subsequent actions.

Название: Streaming Data Mesh: A Model for Optimizing Real-Time Data Services (Final Release)
Автор: Hubert Dulay, Stephen Mooney
Издательство: O’Reilly Media, Inc.
Год: 2023
Страниц: 223
Язык: английский
Формат: epub
Размер: 10.2 MB

Data lakes and warehouses have become increasingly fragile, costly, and difficult to maintain as data gets bigger and moves faster. Data meshes can help your organization decentralize data, giving ownership back to the engineers who produced it. This book provides a concise yet comprehensive overview of data mesh patterns for streaming and real-time data services. Data mesh is one of the most popular architectures for data platforms that many are exploring today. This book will help you get a full understanding of this self-servicing data platform in a streaming context. Today, batch processing dominates all extract, transform, and load (ETL) processes in most businesses. This book will help show a different perspective of data pipelines and apply the same concepts you already understand in batch ETL, but in a streaming ETL in the context of a data mesh. This book is designed to help you understand the essential concepts around streaming data mesh—the concepts, architectures, and technologies at its core.

Название: Getting Started with Big Data Query using Apache Impala
Автор: Agus Kurniawan
Издательство: PE Press
Год: 2021
Страниц: 120
Язык: английский
Формат: pdf, epub
Размер: 15.5 MB

This book provides alternative approach to get started with Big Data Query using Apache Impala. This book describes how to work with Apache Impala and to perform queries inside Apache Impala. Apache Impala is a modern, open source, distributed SQL query engine for Apache Hadoop. With Impala, we can query data, whether stored in HDFS, Apache Hive or Apache HBase – including SELECT, JOIN, and aggregate functions. You can find the official project on this link, In this book, we learn how to perform queries on Apache Impala. Apache Hue is a web tool that can be used to perform queries on Apache Impala. We can say Apache Hue like MySQL Workbench in MySQL or SQL Server Management Studio in SQL Server. We can use Apache Hue to write queries to Apache Impala easily. In this chapter, we learn how to access Apache Impala from a program. We will use Java application for a sample of client application. To access Apache Impala, we can use ODCB and JDBC drivers from Cloudera. We will JDBC 4.2 driver for Java application. Next, we create Java application project.