Название: Windows 10 For Beginners - 17th Edition, 2024
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2024
Страниц: 122
Язык: английский
Формат: pdf
Размер: 45.1 MB

Windows 10 For Beginners is the first and only choice if you are new adopter and want to learn everything you’ll need to get started with your new operating system. This independent manual is crammed with helpful guides and step-by-step fully illustrated tutorials, written in plain easy to follow English. Over the pages of this new user guide you will clearly learn all you need to know about out of the box set up, getting to grips with the more advanced features and discover a huge array of amazing apps. With this unofficial instruction manual at your side no problem will be unsolvable, no question unanswered as you learn, explore and enhance your user experience.

Название: Architecting IoT Solutions on Azure: Conquering Complexity for Scalable Device and Data Management
Автор: Blaize Stewart
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 321
Язык: английский
Формат: pdf, epub (true)
Размер: 10.1 MB

How can you make sense of the complex IoT landscape? With dozens of components ranging from devices to metadata about the devices, it's easy to get lost among the possibilities. But it's not impossible if you have the right guide to help you navigate all the complexities. This practical book shows developers, architects, and IT managers how to build IoT solutions on Azure. Author Blaize Stewart presents a comprehensive view of the IoT landscape. You'll learn about devices, device management at scale, and the tools Azure provides for building globally distributed systems. You'll also explore ways to organize data by choosing the appropriate dataflow and data storage technologies. The final chapters examine data consumption and solutions for delivering data to consumers with Azure. Get the architectural guidance you need to create holistic solutions with devices, data, and everything in between. Azure Data Lake is a product that implements the general idea of a data lake. A data lake is a data repository, like a file system, but it’s primarily intended to house massive amounts of data used for analytical purposes. Because it’s designed for analytics, it’s optimized for analytics, meaning that it’s typically going to be fast on retrieving data, but at the expense of other operations like scanning for files or random reads and writes on data in the data lake. If you’re looking for a book that speaks to holistic IoT solutions on Azure, you’re in the right place. This book has a little something for everyone in IT, including management, architects, engineers, and administrators.

Название: Statistics and Data Analysis for Engineers and Scientists
Автор: Tanvir Mustafy, Md. Tauhid Ur Rahman
Издательство: Springer
Год: 2024
Страниц: 190
Язык: английский
Формат: pdf
Размер: 10.1 MB

This textbook summarizes the different statistical, scientific, and financial data analysis methods for users ranging from a high school level to a professional level. It aims to combine the data analysis methods using three different programs—Microsoft Excel, SPSS, and MATLAB. The book combining the different data analysis tools is a unique approach. The book presents a variety of real-life problems in data analysis and Machine Learning, delivering the best solution. Analysis methods presented in this book include but are not limited to, performing various algebraic and trigonometric operations, regression modeling, and correlation, as well as plotting graphs and charts to represent the results. Fundamental concepts of applied statistics are also explained here, with illustrative examples. Thus, this book presents a pioneering solution to help a wide range of students, researchers, and professionals learn data processing, interpret different findings derived from the analyses, and apply them to their research or professional fields. The book also includes worked examples of practical problems. The primary focus behind designing these examples is understanding the concepts of data analysis and how it can solve problems. The chapters include practice exercises to assist users in enhancing their skills to execute statistical analysis calculations using software instead of relying on tables for probabilities and percentiles in the present world.

Название: Ultimate Linux Projects - 3rd Edition, 2024
Автор: Jon White (Editor)
Издательство: Future Publishing
Год: 2024
Страниц: 132
Язык: английский
Формат: pdf
Размер: 89,3 MB

Linux - это ворота к захватывающему программному обеспечению с открытым исходным кодом, стимулирующим проектам по программированию и, конечно же, впечатляющим экспериментам с Raspberry Pi. В Ultimate Linux Projects мы распахиваем эти двери и исследуем возможности, которые может предложить нам творение Линуса Торвальдса. Внутри журнала "Linux Format" люди, стоящие у истоков Linux, предоставляют свои знания и опыт, чтобы предложить вам специализированные руководства, гайды и советы, которые помогут вам получить дополнительную радость от вашей машины. От мастер-классов по кодированию, которые расскажут вам, как подключиться к метеорологическим спутникам и многое другое, до руководств по подключению Raspberry Pi и альтернатив с открытым исходным кодом для таких популярных сервисов, как Google Photos и Plex - мы уверены, что если вы поклонник Linux, вы найдете здесь что-то, чем можно увлечься. Так что ставьте чайник, загружайте свою машину и приготовьтесь исследовать возможности, которые предлагает Linux.

Название: Windows 11 For Beginners - 10th Edition, 2024
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2024
Язык: английский
Формат: pdf
Размер: 35.1 MB

Windows 11 "Начало работы" - это полное руководство для начинающих пользователей настольных компьютеров и ноутбуков, а также для тех, кто хочет узнать все, что нужно для начала работы с операционной системой Microsoft. Написанное простым и понятным языком, это отдельное руководство содержит множество практических советов и пошаговых иллюстрированных инструкций. В этом руководстве вы узнаете все, что нужно знать о компьютерах и приложениях, разобравшись в функциях операционной системы. С помощью этого неофициального руководства вы не сможете решить ни одной проблемы при изучении, освоении и улучшении работы с Windows 11.

Название: Acing the System Design Interview (Final Release)
Автор: Zhiyong Tan
Издательство: Manning Publications
Год: 2024
Страниц: 473
Язык: английский
Формат: pdf (true)
Размер: 12.1 MB

The system design interview is one of the hardest challenges you’ll face in the software engineering hiring process. This practical book gives you the insights, the skills, and the hands-on practice you need to ace the toughest system design interview questions and land the job and salary you want. Don’t be daunted by the complex, open-ended nature of system design interviews! In this in-depth guide, author Zhiyong Tan shares what he’s learned on both sides of the interview table. You’ll dive deep into the common technical topics that arise during interviews and learn how to apply them to mentally perfect different kinds of systems. The system design interview is daunting even for seasoned software engineers. Fortunately, with a little careful prep work you can turn those open-ended questions and whiteboard sessions into your competitive advantage! In this powerful book, Zhiyong Tan reveals practical interview techniques and insights about system design that have earned developers job offers from Amazon, Apple, ByteDance, PayPal, and Uber. Acing the System Design Interview is a masterclass in how to confidently nail your next interview. Following these easy-to-remember techniques, you’ll learn to quickly assess a question, identify an advantageous approach, and then communicate your ideas clearly to an interviewer. As you work through this book, you’ll gain not only the skills to successfully interview, but also to do the actual work of great system design.

Название: PostgreSQL Query Optimization: The Ultimate Guide to Building Efficient Queries, 2nd Edition
Автор: Henrietta Dombrovskaya, Boris Novikov, Anna Bailliekova
Издательство: Apress
Год: 2024
Страниц: 583
Язык: английский
Формат: pdf
Размер: 13.5 MB

Write optimized queries. This book helps you write queries that perform fast and deliver results on time. You will learn that query optimization is not a dark art practiced by a small, secretive cabal of sorcerers. Any motivated professional can learn to write efficient queries from the get-go and capably optimize existing queries. You will learn to look at the process of writing a query from the database engine’s point of view, and know how to think like the database optimizer. The book begins with a discussion of what a performant system is and progresses to measuring performance and setting performance goals. It introduces different classes of queries and optimization techniques suitable to each, such as the use of indexes and specific join algorithms. You will learn to read and understand query execution plans along with techniques for influencing those plans for better performance. The book also covers advanced topics such as the use of functions and procedures, dynamic SQL, and generated queries. All of these techniques are then used together to produce performant applications, avoiding the pitfalls of object-relational mappers. This second edition includes new examples using Postgres 15 and the newest version of the PostgresAir database. It includes additional details and clarifications about advanced topics, and covers configuration parameters in greater depth. Finally, it makes use of advancements in NORM, using automatically generated functions.

Название: Databricks Lakehouse Platform Cookbook: 100+ recipes for building a scalable and secure Databricks Lakehouse
Автор: Alan L. Dennis
Издательство: BPB Publications
Год: 2024
Страниц: 581
Язык: английский
Формат: epub (true)
Размер: 52.2 MB

Analyze, Architect, and Innovate with Databricks Lakehouse. The Databricks Lakehouse is groundbreaking technology that simplifies data storage, processing, and analysis. This cookbook offers a clear and practical guide to building and optimizing your Lakehouse to make data-driven decisions and drive impactful results. This definitive guide walks you through the entire Lakehouse journey, from setting up your environment, and connecting to storage, to creating Delta tables, building data models, and ingesting and transforming data. We start off by discussing how to ingest data to Bronze, then refine it to produce Silver. Next, we discuss how to create Gold tables and various data modeling techniques often performed in the Gold layer. You will learn how to leverage Spark SQL and PySpark for efficient data manipulation, apply Delta Live Tables for real-time data processing, and implement Machine Learning and Data Science workflows with MLflow, Feature Store, and AutoML. The book also delves into advanced topics like graph analysis, data governance, and visualization, equipping you with the necessary knowledge to solve complex data challenges. By the end of this cookbook, you will be a confident Lakehouse expert, capable of designing, building, and managing robust data-driven solutions. A good understanding of SQL, Python, Spark, and cloud computing would benefit the reader but is not required.

Название: Big Data and Hadoop: Fundamentals, tools, and techniques for data-driven success - 2nd Edition
Автор: Mayank Bhushan
Издательство: BPB Publications
Год: 2024
Страниц: 548
Язык: английский
Формат: epub (true)
Размер: 27.8 MB

In today's data-driven world, harnessing the power of big data is no longer a luxury, but a necessity. This comprehensive guide, "Big Data and Hadoop," dives deep into the world of big data and equips you with the knowledge and skills you need to conquer even the most complex data landscapes. Start with the fundamentals of big data, exploring its growing significance and diverse applications. You'll look into the heart of the Apache Hadoop ecosystem, mastering its core components like HDFS and MapReduce. We'll demystify NoSQL databases, introducing you to HBase and Cassandra as powerful alternatives to traditional databases. Clarify the details of MapReduce programming with practical examples, and discover the power of PigLatin and HiveQL for efficient data analysis. Explore advanced tools like Spark, unlocking its potential for real-time data processing and analytics. Rounding out your knowledge, the book delves into practical applications, exploring real-world scenarios and research-based insights. By the end of this book, you'll emerge as a confident big data explorer, equipped to tackle any data challenge with expertise and precision. Whether you are a beginner or have some experience with Big Data. This book is for aspiring Big Data professionals, including data analysts, software developers, IT professionals, and students in Computer Science and related fields.

Название: Hypothesis Generation and Interpretation: Design Principles and Patterns for Big Data Applications
Автор: Hiroshi Ishikawa
Издательство: Springer
Серия: Studies in Big Data
Год: 2024
Страниц: 380
Язык: английский
Формат: pdf (true)
Размер: 11.1 MB

This book focuses in detail on Data Science and data analysis and emphasizes the importance of data engineering and data management in the design of Big Data applications. The author uses patterns discovered in a collection of Big Data applications to provide design principles for hypothesis generation, integrating Big Data processing and management, Machine Learning and data mining techniques. The book proposes and explains innovative principles for interpreting hypotheses by integrating micro-explanations (those based on the explanation of analytical models and individual decisions within them) with macro-explanations (those based on applied processes and model generation). Practical case studies are used to demonstrate how hypothesis-generation and -interpretation technologies work. These are based on “social infrastructure” applications like in-bound tourism, disaster management, lunar and planetary exploration, and treatment of infectious diseases. The novel methods and technologies proposed in Hypothesis Generation and Interpretation are supported by the incorporation of historical perspectives on science and an emphasis on the origin and development of the ideas behind their design principles and patterns. In the Big Data era, characterized by volume, variety, and velocity, which generates a large amount of diverse data at high speed, the role of a hypothesis is more important to generate the final value, and such a hypothesis is more complicated and complex than ever. At the same time, the era of Big Data creates new vague concerns for end users as to whether Big Data relevant to them will be used appropriately.