Название: ClickHouse для аналитика
Автор: Николай Петров
Издательство: Stepik
Год: 2023
Формат: HTML
Страниц: много
Размер: 107 Mb
Язык: Русский

ClickHouse это одна из самых быстро развивающихся СУБД и платформ для работы с данными. Инвестиции в изучение этого инструмента сейчас, дадут вам большие возможности потом. Для примера, эту СУБД внедрили Spotify и даже Uber! На курсе мы разберемся как оно устроено под капотом, а также напишем много SQL.

Название: Augmented Analytics: Enabling Analytics Transformation for Data-Informed Decisions (3rd Early Release)
Автор: Willi Weber, Tobias Zwingmann
Издательство: O’Reilly Media, Inc.
Год: 2024-04-30
Страниц: 307
Язык: английский
Формат: epub
Размер: 10.1 MB

Augmented Analytics isn't just another book on data and analytics; it's a holistic resource for reimagining the way your entire organization interacts with information to become insight-driven. Moving beyond traditional, limited ways of making sense of data, Augmented Analytics provides a dynamic, actionable strategy for improving your organization's analytical capabilities. With this book, you can infuse your workflows with intelligent automation and modern artificial intelligence, empowering more team members to make better decisions. Be aware: These pages cover more than just adding another forecast to your dashboard. They go deeper, presenting a complete approach to achieving analytical excellence in your organization. This book covers many aspects, both methodological and technical, of the broad topic of analytics transformation. The methodological topics are particularly foundational for understanding analytics maturity while the technical topics help you increase that maturity. The book is particularly valuable for experienced analysts and for people in strategic and managerial positions who are responsible for some facet of an analytical or digital transformation. You will see in these pages many transformative concepts and ideas that have a strong strategic character. You will also see technical implementations in dedicated analytics programming languages, such as Python and R. But even if you are not an analytics professional with programming skills, this book is for you: we explain all concepts, including the technical implementations, in a way that business professionals can understand while providing a complement for people who would like to dive deeper technically.

Название: Переходим на Mac
Автор: Макфедрис П.
Издательство: М: Манн, Иванов и Фербер
Год: 2013
Cтраниц: 384, цвет.ил.
Формат: pdf
Размер: 40 мб
Язык: русский

Эта книга - персональный консультационный центр, который поможет ответить на все вопросы, возникающие при переходе из Windows в среду Apple. Из неё вы узнаете как уютно обустроить ваше новое компьютерное пространство; изучите все особенности интерфейса; научитесь устанавливать программы из App Store; узнаете, как синхронизировать данные с iPhone, iPod или iPad и обеспечить общий доступ к данным из Mac OS Х и Windows; сможете грамотно организовать выполнение повседневных задач и работу с важными данными; научитесь самостоятельно исправлять большую часть неполадок.

Название: Statistical Tableau: How to Use Statistical Models and Decision Science in Tableau
Автор: Ethan Lang
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 314
Язык: английский
Формат: epub (true)
Размер: 24.4 MB

In today's data-driven world, understanding statistical models is crucial for effective analysis and decision making. Whether you're a beginner or an experienced user, this book equips you with the foundational knowledge to grasp and implement statistical models within Tableau. Gain the confidence to speak fluently about the models you employ, driving adoption of your insights and analysis across your organization. As AI continues to revolutionize industries, possessing the skills to leverage statistical models is no longer optional—it's a necessity. Stay ahead of the curve and harness the full potential of your data by mastering the ability to interpret and utilize the insights generated by these models. Whether you're a data enthusiast, analyst, or business professional, this book empowers you to navigate the ever-evolving landscape of data analytics with confidence and proficiency. Start your journey toward data mastery today. Statistical analysis and data visualization are often considered two separate things. However, both disciplines rely on one another. To understand your data and make accurate predictions or assumptions through statistical analysis, you must visualize your data. On the other hand, to deliver actionable insights and enable your audience to get the most from data visualizations, we must back up our assumptions with some statistical analysis. This book is to help you bring statistics into your visualizations in Tableau. You will learn how to read and interpret statistical models, implement them in Tableau, and ultimately draw out actionable insights to present to your stakeholders. Most decisions using data come with risks; it is your responsibility to arm the decision maker with as much information as possible and to mitigate those risks. R is a programming language and open source software environment primarily used for statistical computing and graphics. Python is a popular language in various fields, including web development (using frameworks like Django and Flask), Data Science and Machine Learning, and automation.

Название: Apache Iceberg: The Definitive Guide: Data Lakehouse Functionality, Performance, and Scalability on the Data Lake
Автор: Tomer Shiran, Jason Hughes, Alex Merced
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 479
Язык: английский
Формат: pdf, epub (true)
Размер: 14.0 MB

Traditional data architecture patterns are severely limited. To use these patterns, you have to ETL data into each tool—a cost-prohibitive process for making warehouse features available to all of your data. The lack of flexibility with these patterns requires you to lock into a set of priority tools and formats, which creates data silos and data drift. This practical book shows you a better way. Apache Iceberg provides the capabilities, performance, scalability, and savings that fulfill the promise of an open data lakehouse. By following the lessons in this book, you'll be able to achieve interactive, batch, Machine Learning, and streaming analytics with this high-performance open source format. Authors Tomer Shiran, Jason Hughes, and Alex Merced from Dremio show you how to get started with Iceberg. In these pages, you’ll learn what Apache Iceberg is, why it exists, how it works, and how to harness its power. Designed for data engineers, architects, scientists, and analysts working with large datasets across various use cases from BI dashboards to AI/ML, this book explores the core concepts, inner workings, and practical applications of Apache Iceberg. By the time you reach the end, you will have grasped the essentials and possess the practical knowledge to implement Apache Iceberg effectively in your data projects. Whether you are a newcomer or an experienced practitioner, Apache Iceberg: The Definitive Guide will be your trusted companion on this enlightening journey into Apache Iceberg.

Название: Big Data Analytics: Theory, Techniques, Platforms, and Applications
Автор: Ümit Demirbaga, Gagangeet Singh Aujla, Anish Jindal
Издательство: Springer
Год: 2024
Страниц: 299
Язык: английский
Формат: pdf (true), epub
Размер: 39.8 MB

This book introduces readers to Big Data analytics. It covers the background to and the concepts of Big Data, Big Data analytics, and cloud computing, along with the process of setting up, configuring, and getting familiar with the Big Data analytics working environments in the first two chapters. The third chapter provides comprehensive information on Big Data processing systems - from installing these systems to implementing real-world data applications, along with the necessary codes. The next chapter dives into the details of Big Data storage technologies, including their types, essentiality, durability, and availability, and reveals their differences in their properties. The fifth and sixth chapters guide the reader through understanding, configuring, and performing the monitoring and debugging of Big Data systems and present the available commercial and open-source tools for this purpose. Chapter seven gives information about a trending Machine Learning, Bayesian network: a probabilistic graphical model, by presenting a real-world probabilistic application to understand causal, complex, and hidden relationships for diagnosis and forecasting in a scalable manner for Big Data. Special sections throughout the eighth chapter present different case studies and applications to help the readers to develop their Big Data analytics skills using various Big Data analytics frameworks.

Название: IT Infrastructure: Security and Resilience Solutions
Автор: Ralf Süß, Yannik Süß
Издательство: Apress
Год: 2024
Страниц: 352
Язык: английский
Формат: pdf, epub (true)
Размер: 31.3 MB

Embark on a comprehensive journey into the intricate world of IT infrastructure, with an in-depth look into the transformational role of secure, private data centers in today's digital era. This exploration uncovers the multi-faceted domains of IaaS, PaaS, and SaaS, examining the primary components of modern IT infrastructure—compute, storage, backup, and beyond. As technology continues to surge forward, cyber threats evolve in tandem, prompting a dire need for reinforced data center security and resilience. This book provides readers with a holistic, layered understanding of IT operations in our interconnected age. You will dive deep into the heart of technological advancements, appreciating the symbiotic relationship between evolving hardware capabilities and the progressive nature of cloud services. You will understand the intricacies of data center design, management, and the strategic role they play amid the growing reliance on both private and public clouds. Asindustries pivot towards a more digital-first approach, this book serves as a guiding star, illuminating the pathways, challenges, and opportunities of the vast IT infrastructure landscape. For IT professionals: from system administrators and network architects to IT managers and data center overseers, plus students and tech enthusiasts seeking deep insights into IT infrastructure.

Название: AWS DevOps Engineer Professional Certification Guide: Hands-on guide to understand, analyze, and solve 150 scenario-based questions
Автор: Sumit Kapoor
Издательство: BPB Publications
Год: 2024
Страниц: 608
Язык: английский
Формат: epub
Размер: 33.5 MB

Learn using Cloud data technologies for improving data analytics and decision-making capabilities for your organization. The AWS DevOps Engineer Professional Certification Guide is highly challenging and can significantly boost one's career. It features scenario-based questions with lengthy descriptions, making comprehension tough. This book focuses extensively on AWS Developer Tools, CloudFormation, Elastic Beanstalk, OpsWorks, and other crucial topics, representing the exam's domain. The readers can easily prepare for the AWS Certified DevOps Engineer - Professional exam with this guide drafted with a focus on managing infrastructure and applications on AWS. It covers secure version control with CodeCommit, automated code building with CodeBuild, and streamlined updates with CodeDeploy and CodePipeline. You will learn to create secure CI/CD pipelines and define AWS infrastructure and applications with CloudFormation. The readers will explore the management of multiple AWS accounts, security tools, and automation with OpsWorks and Elastic Beanstalk. You will also discover strategies for scalability, disaster recovery, monitoring with CloudWatch, and performance analysis with Kinesis Data Streams. Finally, you will learn to implement automated responses and security best practices with AWS Config and Inspector. Successfully passing this exam will help you gain advanced technical skills needed to become a DevOps subject matter expert and earn a good remuneration in the IT industry.

Название: Open Data for Everybody: Using Open Data for Social Good
Автор: Nathan Coyle
Издательство: CRC Press
Год: 2024
Страниц: 199
Язык: английский
Формат: pdf (true)
Размер: 10.4 MB

What if I told you something that could empower our third sector and activists to enhance their capacity? From gathering evidence for funding tenders to campaigning for crucial social issues and much more? It's called open data, yet many in social action remain unaware of it. Primarily shaped by corporate entities, open data seems tailored only for technologists, alienating the third sector. But in reality, it's a powerful tool for social change, bolstering civil society, and creating resilient communities. You probably don’t realize that you are using data right now. Take your phone, for example. Do you check the weather before you leave the house or even on the TV? Perhaps you’ll be looking to move home soon. If you have children, would you check out local schools or transport links? Maybe you’re considering going to university. How will you compare the cost of your course to a different one? If you’re lost, the first thing you’ll probably do is take out your phone and open your GPS map app, right? The possibilities are limitless, from tracking your fitness or weight control to planning which bus or train you’ll take the next morning. The answer to all those questions will most likely involve a website or app that uses data to operate and do its job. It is built on data—data that is changing in real time. Big Data—sometimes data can get really vast! It is essentially a huge digital repository of information, comprising extensive and intricate datasets that surpass the capacity of conventional data processing tools. It encompasses structured data, often found in databases, as well as unstructured data such as text, images, and real‑time sensor readings collected from diverse sources. To extract valuable insights, detect patterns, and uncover trends within these massive datasets, organizations leverage advanced analytical techniques and cutting‑edge technologies.

Название: Excel BI and Dashboards in 7 Days: Build interactive dashboards for powerful data visualization and insights
Автор: Jared Poli
Издательство: BPB Publications
Год: 2024
Страниц: 330
Язык: английский
Формат: pdf, epub
Размер: 19.2 MB

Using MS Excel for powerful exploration, manipulation, and data visualization. Everyone thinks of Excel differently, and its full potential is often untapped. Businesses tend to decide to invest heavily in proper BI tools, perhaps wrongfully assuming that Excel has a minimal role in that industry. Excel can be used effectively to collect, refresh, transform, and visualize your data in beautiful and eye-catching ways. This book covers building those skills and unlocking Excel and your potential in just seven days. The book explores the process of cleaning your data to ensure accuracy, using formulas to enhance and prepare the same for PivotTables. It will also help you understand how to use data visualization to create clear charts to communicate insights effectively and construct interactive dashboards for user exploration, including elements like slicers and timelines. The book also dives into discovering design principles for easy-to-understand dashboards, while gaining knowledge on maintaining and updating them for ongoing usability. Understanding the full power behind Excel will allow you to improve your spreadsheet game and prove that you can do it all with one industry standard tool and this book. This book is for everyone who wants to be a powerful user of Excel, finance teams, sales and marketing teams, MIS Analysts, BI aspirants, and all those who work with Excel sheets daily and want to refine that skill set into something more practical.