Название: Как быстро восстановить потерянные компьютерные данные. Подробное руководство по спасению информации
Автор: Гладкий А. А.
Издательство: Москва
Год: 2020
Cтраниц: 291 с. : ил.
Формат: pdf (ocr)
Размер: 19 мб
Язык: русский

Внезапная потеря хранящихся в компьютере данных — это всегда драма. Особенно, если они относятся к профессиональной деятельности: можно лишиться выгодного заказа, получить крупные убытки или потерять работу. Не столь критично, но бесконечно досадно и жалко терять семейные фото и видео, коллекции фильмов и музыки, прочий любимый контент.

Название: Redpanda Streaming: Kafka‑Compatible Performance with Simple Ops
Автор: Trex Team
Издательство: NobleTrex Press
Год: 2026
Страниц: 256
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Event streaming is the backbone of modern data architectures, but managing legacy, JVM-based Kafka clusters often means battling operational complexity and latency spikes. Enter Redpanda: a C++, single-binary platform that delivers drop-in Kafka compatibility without the administrative overhead. "Redpanda Streaming: Kafka‑Compatible Performance with Simple Ops" is written for experienced data engineers, systems architects, and DevOps professionals seeking to build high-throughput, low-latency streaming applications. If you want to scale event-driven systems while drastically simplifying your infrastructure, this book provides the definitive roadmap. Throughout this comprehensive guide, you will master the architectural paradigms that enable Redpanda’s thread-per-core performance and Raft-based consensus. The text dives deep into advanced producer and consumer design, teaching you how to guarantee data durability and handle backpressure under heavy load. Moving beyond introductory tutorials, this book distinguishes itself by focusing heavily on Day-2 operations, rigorous benchmarking methodologies, and hardware-level tuning.

Название: Building Data Integration Solutions: Design data pipelines, connect systems, deliver insights, and empower business transformation
Автор: Sayan Guha
Издательство: BPB Publications
Год: 2026
Страниц: 554
Язык: английский
Формат: epub (true)
Размер: 12.1 MB

In the current digital era, data integration is the backbone of actionable insights and informed decision-making. As organizations grow across cloud and hybrid ecosystems, the ability to design secure, robust, and scalable pipelines has become essential for driving innovation, compliance, and operational efficiency. This book is a practical guide designed to help you bridge the gap between fragmented data sources and a unified, scalable ecosystem. This guide covers the entire data integration lifecycle, beginning with core ETL/ELT concepts and data mesh architectures. You will progress from data profiling and modeling to building production-ready pipelines using AWS Glue, Azure Data Factory, and Apache NiFi. The book explores real-time streaming with Kafka and Kinesis, workflow orchestration via Airflow, and real-world applications in sectors like banking and healthcare. Finally, you will master DataOps essentials, including CI/CD with Terraform, IAM security, PII masking, and Prometheus monitoring, to ensure robust data governance and reliability. By the end of this book, readers will be equipped to design and manage production-grade data pipelines that are resilient, auditable, and future-ready. They will gain practical skills in data pipeline orchestration, solution architecture, DevOps, governance, security, and observability, empowering them to deliver trusted end-to-end data solutions and lead enterprise transformations in the age of data-driven innovation. This book targets data engineers, architects, analysts, and students transitioning to cloud-native practices. Prior experience with basic databases is helpful as you master secure, enterprise-scale pipelines. It also serves researchers and managers needing practical, real-time industry use cases.

Название: Thinking in PostgreSQL: A field guide to PostgreSQL for MySQL engineers
Автор: Nick Vyzas
Издательство: Independently published
Год: December 2025
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

You already know how to keep MySQL alive in production. You’ve tuned InnoDB, chased deadlocks, and survived your fair share of late-night incident calls. Now you’ve been handed PostgreSQL—and you’d like to avoid relearning everything the hard way. Thinking in PostgreSQL is a field guide for engineers who grew up on MySQL and now have to run Postgres in anger. It doesn’t start from “what is a database?” and it doesn’t pretend PostgreSQL is just a drop-in replacement. If you’ve ever caught yourself treating PostgreSQL like “MySQL with slightly different syntax,” this book is your gentle intervention. Who this book is for: - MySQL DBAs, SREs, and backend engineers who suddenly “own” a Postgres cluster; - Teams migrating from MySQL to PostgreSQL and trying not to relearn every lesson the hard way; - Anyone who already understands relational databases and wants the Postgres-specific mental model without wading through beginner material.​ If you know how to keep MySQL alive in production, you already have most of the instincts you need. This book’s job is to translate those instincts into the world of PostgreSQL—so you stop trying to feed the elephant dolphin food and start working with the database you actually have.

Название: Power BI Crash Course: Transforming raw data into actionable strategies by leveraging Power BI to build a results-driven business intelligence ecosystem
Автор: Olalekan Adeeko
Издательство: BPB Publications
Год: 2026
Страниц: 614
Язык: английский
Формат: epub (true)
Размер: 26.0 MB

Power BI has revolutionized decision-making by turning raw data into actionable insights, making it a critical skill for modern business professionals. Power BI Crash Course is a comprehensive roadmap that helps you build an understanding of Power BI fundamentals through advanced enterprise implementations. The book begins with foundational concepts, including data connections, Power Query transformations, and data modeling with star schemas. You will progress through advanced DAX calculations, time intelligence functions, and performance optimization techniques essential for professional-grade analytics solutions. This book uses an integrated sales dataset to show how features combine in real-world business intelligence. This book is ideal for business analysts, data analysts, BI developers, and IT professionals. Beginners with basic data concepts and Excel familiarity will find clear progression from fundamentals to advanced topics, and the experienced users can deepen their expertise in DAX optimization, performance tuning, and enterprise deployment strategies for building professional analytics solutions.

Название: Mastering Data Analytics with Excel: Mastering Excel analytics using basic to advanced insights
Автор: Isaac Gottlieb
Издательство: BPB Publications
Год: 2026
Страниц: 704
Язык: английский
Формат: epub (true)
Размер: 50.3 MB

Excel is a powerhouse for modern analytics, bridging the gap between raw data and strategic action. Beyond simple spreadsheets, its true potential lies in complex business modeling, data preparation, and advanced computation. By mastering the Analysis ToolPak, Solver, and dynamic visualizations, users can transform static rows into a responsive platform that uncovers the why behind the numbers. This book provides a comprehensive, step-by-step roadmap for students and professionals alike. The journey begins with data cleaning and essential functions before diving into sophisticated modeling. You will explore high-level capabilities, including PivotTables, What-If Analysis, and correlation methods. It also bridges the gap into predictive analytics, teaching you how to use regression, time series analysis, and Excel’s Forecast Sheet to anticipate trends and model future scenarios. This book is for students, professionals, and decision-makers who want to use Excel to turn data into insights. Whether you are new to analytics or looking to sharpen your skills, it offers practical, step-by-step guidance to help you make smarter, data-driven decisions.

Название: Mastering Data Engineering with BigQuery: Building Scalable Analytics and ML Pipelines with BigQuery
Автор: Shanthababu Pandian
Издательство: Orange Education Pvt Ltd, AVA
Год: 2026
Страниц: 493
Язык: английский
Формат: epub (true)
Размер: 33.3 MB

Your guide to building intelligent, cloud-ready data pipelines. BigQuery sits at the core of modern cloud data platforms, enabling you to analyze massive datasets with speed, scalability, and simplicity. Mastering Data Engineering with BigQuery guides you through the complete lifecycle of cloud-native data systems on Google Cloud Platform—from data ingestion and storage to processing, orchestration, analytics, and machine learning—using BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Composer. You will learn how to design scalable data pipelines, efficiently manage and query large datasets, optimize BigQuery performance, automate workflows, and apply Machine Learning directly within BigQuery. This book is ideal for data engineers, cloud engineers, analysts, machine learning engineers, and solution architects building scalable data systems on Google Cloud, as well as IT professionals transitioning into cloud data engineering roles. Readers should have a basic programming knowledge (Python or SQL preferred) as prior cloud or data experience is helpful, but not a necessity!

Название: Linux Training Guide: Quick reference guide to deal with Linux kernel based operating systems
Автор: Naresh Bhaisare
Издательство: BPB Publications
Год: 2026
Страниц: 232
Язык: английский
Формат: pdf, epub (true), mobi
Размер: 10.1 MB

Linux is a powerful and versatile operating system that is widely used across various fields, from personal computing to enterprise-level server management. This book is designed as a practical, hands-on guide that simplifies complex system administration into manageable steps for beginners and aspiring professionals. The book explains relevant concepts like sticky bits, system performance tuning, and Android log analysis directly within the workflow. It covers fundamental commands, file management, process control, package management, shell scripting, and essential networking tools. Each chapter is designed using practical examples and hands-on exercises to reinforce learning. By moving through areas like security, text processing, and mobile debugging, you will build a solid technical foundation through active practice. This book is ideal for students, IT professionals, developers, and aspiring system administrators. No prior Linux experience is required; however, a basic understanding of computer operations will help beginners and hobbyists master the command-line skills and essential concepts presented.

Название: Big Data in Practice: Harnessing Spark, Kafka, and cloud computing for scalable AI solutions
Автор: Jitender Jain, Medha Gupta
Издательство: BPB Publications
Год: 2026
Страниц: 300
Язык: английский
Формат: epub (true)
Размер: 11.2 MB

Artificial Intelligence systems today are driven by data at unprecedented scale. As Machine Learning, real-time inference, and Generative AI reshape industries, organizations need robust big data platforms to ingest, process, and operationalize vast and complex datasets. Big Data has become the backbone of modern AI systems, making data engineering skills essential for professionals across technology, analytics, and AI roles. This book provides a practical guide to designing and building data platforms that power AI applications. It covers core Big Data technologies such as Hadoop, Spark, Kafka, NoSQL, and cloud data platforms, then connects them to the AI lifecycle, including data ingestion, feature engineering, scalable model training, real-time inference, and MLOps. This book is aimed at intermediate level professionals working with data and enterprise systems who want to apply Big Data technologies in real-world AI projects. It is well suited for data engineers, ML practitioners, software engineers, architects, and IT professionals building scalable AI-driven data platforms.

Название: Data Makes the World Go 'Round: The Data, Tech, and Trust Behind AI Success
Автор: Fern Halper
Издательство: Wiley
Год: 2026
Страниц: 318
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

A comprehensive and detailed guide for business and technology leaders ready to implement AI throughout their organizations. A soup to nuts strategy guide for business leaders interested in implementing artificial intelligence in their organizations in a way that drives real-world results, Data Makes the World Go ‘Round: The Data, Tech, and Trust Behind AI Success combines specific, actionable advice for technical and business leaders on issues like data management, data architectures, AI tools, AI operationalization, and AI governance. Veteran technology and business analyst, researcher, and leader, Fern Halper, walks you through the organizational and technical factors that determine success in data, analytics, and AI. This book brings together the insights, case studies, and leader interviews that set out exactly what you need to succeed as you incorporate artificial intelligence throughout your organization. It covers the latest trends in data and AI (and how they’re relevant to your top- and bottom-lines), data products, data fabric, and AI responsibility.