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Название: Optimizing Your Apache Iceberg Lakehouse: Improving Performance and Scalability (Early Release)
Автор: Lester Martin
Издательство: O’Reilly Media, Inc.
Год: 2026-04-22
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Iceberg data lakehouse architecture leverages the widely accepted Apache Iceberg open table format to deliver superior features through enhanced metadata handling. But understanding Iceberg conceptually is only the beginning. To benefit from its architecture, you need to know how it works, how to apply it to real tasks, and how to optimize it effectively. It’s time to dig deeper into the architecture underlying Apache Iceberg. Like all data lakehouse table formats, Iceberg is built on the model of collocating many large files with the same file format and logical structure in a repository, accessed as if they were a traditional RDBMS table. Unlike RDBMS technologies, data lakehouses clearly separate storage from compute. A repository full of data files and scalable processing capacity is not enough for lakehouses; we need metadata to complete the picture.

Название: Statistical Hypothesis Testing with Microsoft Office Excel, Second Edition
Автор: Robert Hirsch
Издательство: Springer
Год: 2026
Страниц: 116
Язык: английский
Формат: pdf (true), epub
Размер: 10.5 MB

This book provides a comprehensive treatment of the logic behind hypothesis testing. This updated edition covers frequentist (classical) and Bayesian approaches to interpretation of the results of a statistical hypothesis test. In a new chapter, nonparametric hypothesis testing is also discussed. The author describes the most commonly used statistical tests and provides instructions for how to perform them using Microsoft Office Excel. Readers will learn how to interpret P-values under a variety of conditions including a single hypothesis test, a collection of hypothesis tests, and tests performed on accumulating data. This new edition includes the chi-square test as a method for nominal data. The author provides frameworks for how to plan the size of a sample and how to select which test to use for a data set. This second edition will be of interest to researchers, graduate students, and anyone who has to interpret the results of statistical analyses.

Название: Big dаta: Modern Tools and Techniques
Автор: Bahaaeddin Alareeni
Издательство: Springer
Серия: Studies in Big Data
Год: 2026
Страниц: 381
Язык: английский
Формат: pdf (true), epub
Размер: 41.3 MB

This book shows how to transform Big Data, AI, and digital technologies into powerful tools for smarter decisions, stronger strategies, and sustainable growth. Data is everywhere—but only those who know how to use it can truly lead. This book aims to bridge the gap between data abundance and data intelligence. It offers a clear, practical roadmap for navigating the complexities of Big Data, Artificial Intelligence, Machine Learning, and digital transformation. More than just a technical manual, it serves as a strategic guide for business leaders, analysts, and professionals seeking to unlock the full value of their data assets. Packed with real-world examples and practical insights, it equips leaders, analysts, and professionals to navigate today’s data-driven world with clarity and confidence. Whether in finance, marketing, or digital banking, this book reveals how data can be your greatest asset for innovation and success.

Название: Understanding dаta: A 21st Century Approach to Statistics and Data Science
Автор: Alan Garfinkel, Yina Guo
Издательство: Springer
Год: 2026
Страниц: 674
Язык: английский
Формат: pdf (true)
Размер: 182.7 MB

This text introduces statistics to beginning students in a distinctly original and non-traditional way. It assumes minimal mathematical or statistical background, yet offers substantial depth that will also engage experienced practitioners. Motivated by the growing call to move beyond the statistical practices and concepts that contributed to the current “reproducibility crisis,” the book encourages readers to rethink what statistics is, how it is used, and how it should be taught. Instead of memorizing formulas that were derived as approximations under unrealistic assumptions, modern computing enables us to simulate scenarios thousands of times in seconds and simply count outcomes. Taking this computational approach as fundamental, the book provides thorough coverage of the material, including describing and presenting data, two-group and multi-group comparisons, correlation, regression, statistical power and Bayesianism, deliberately forgoing many standard techniques in favor of simulation-based methods. The text is filled with worked examples using real data, computer code (examples in Python), and practical guidance for presenting results effectively. Diagrams and figures enhance readability, and the resampling illustrations in particular provide intuitive visual cues that clarify the underlying processes.

Название: Linux Mint 20 Self Help Guide, 2nd Edition: Unofficial and Compatible With All Linux Mint 20 Versions
Автор: Morgan Partridge
Издательство: Independently published
Год: 2022
Страниц: 535
Язык: английский
Формат: epub
Размер: 12.5 MB

Updating Linux Mint 20.03; Audio Editors; Cloud Backup; Cloud Office Suites; Communication; Compatibility Layers (WINE); Cryptocurrency Wallets; Data Recovery; Desktop Environments; Download Managers; Ebook Readers; Elder Gaming; File Compression and Extraction; Image Editors; Internet Video Broadcasting; Media Player; Modern Gaming (WINE, Lutris, Steam et all.); Music On Demand Streaming; Music Players; PDF Readers; Remote Working...

Название: MATLAB Database Toolbox User's Guide (R2025b)
Автор: MathWorks
Издательство: The MathWorks, Inc.
Год: September 2025
Страниц: 1400
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Exchange data with relational and nonrelational databases. Database Toolbox provides functions and an app for exchanging data with relational and nonrelational databases. It enables this exchange by automatically converting between database and MATLAB data types. Database Toolbox provides functions and an app for interacting with relational and NoSQL databases. The toolbox supports any ODBC-compliant or JDBC-compliant relational database and provides NoSQL support for Apache Cassandra, MongoDB, and Neo4j. Native interfaces for MySQL, PostgreSQL, and SQLite provide functionality that streamlines interaction with your database. The interfaces ship with third-party drivers that connect to your database in deployed and cloud environments without additional setup or installation. Database Toolbox provides direct read and write workflows for novice users and fine-grained control for advanced users who are familiar with SQL. With the Database Explorer app, you can explore relational data interactively and generate MATLAB code to automate or operationalize database workflows.

Название: New Perspectives Microsoft 365 Excel Comprehensive, First Edition
Автор: Patrick Carey
Издательство: Cengage Learning
Год: 2025
Страниц: 863
Язык: английский
Формат: pdf (true)
Размер: 58.2 MB

Using a unique in-depth, case-based approach, Carey's NEW PERSPECTIVES MICROSOFT 365 EXCEL COMPREHENSIVE, FIRST EDITION, thoroughly prepares you for the Microsoft Office Specialist (MOS) certification exam and success in your future career. As you apply Microsoft Office skills to real-world business scenarios based on data from market insights, you will sharpen your critical-thinking and problem-solving skills. Professional skills, tips and insights incorporated throughout provide context and relevancy to real-world practice. The text also offers updated coverage of Microsoft 365 features as well as enhanced support for Mac users. In addition, MindTap and up-to-date SAM (Skills Assessment Manager) digital resources provide interactive study tools to help maximize your study time -- and results.

Название: The Expert’s Guide to SQL Server: Tuning, Security, and Cloud Migration
Автор: Venkata Reddy Pasam, Petchikumar Andiappan
Издательство: Apress
Год: 2026
Страниц: 335
Язык: английский
Формат: True PDF, True EPUB
Размер: 39.7 MB

This book provides an in-depth exploration of SQL Server internals, offering readers a comprehensive roadmap for performance tuning, security hardening, and cloud migration. It addresses modern challenges faced by database administrators and architects, including query optimization, backup and recovery strategies, Transparent Data Encryption (TDE), Always Encrypted, and scaling workloads to the cloud. As organizations continue to shift toward cloud-native solutions, understanding these critical aspects of SQL Server is more essential than ever. The book follows a structured approach, beginning with fundamental concepts of SQL Server architecture and progressing to expert-level techniques in performance tuning and security. Real-life scenarios, best practices, and troubleshooting techniques provide a hands-on learning experience. Case studies and practical insights from industry professionals help readers navigate common challenges in SQL Server administration and migration. For seasoned database administrators (DBAs), cloud architects, and IT professionals who work with SQL Server and are looking to enhance their expertise in performance tuning, security, and cloud migration. It is particularly valuable for professionals responsible for managing high-performance, secure, and scalable SQL Server environments in both on-premises and cloud-based infrastructures.

Название: Microsoft Project 2019. Шаг за шагом
Автор: Льюис С., Четфилд К., Джонсон Т.
Издательство: ДMK
Год: 2021
Cтраниц: 570, ил.
Формат: pdf
Размер: 43 мб
Язык: русский

Учиться стало еще проще. Повысьте эффективность работы с помощью Microsoft Project 2019. Переходите в нужный вам раздел в поисках ответов – наглядные уроки и информативные скриншоты покажут вам, что именно нужно делать.

Название: Ultimate Milvus Vector Database for AI Apps: Master Vector Search, Distributed Data Management, and GPU-Accelerated AI Systems with Milvus
Автор: Prashanth Raghu
Издательство: Orange Education Pvt Ltd, AVA
Год: 2026
Страниц: 266
Язык: английский
Формат: pdf, epub (true)
Размер: 10.1 MB

Build Production AI Systems Using the World's Leading Vector Database. Vector databases have become the critical infrastructure layer of modern AI, powering semantic search, recommendation systems, image recognition, and retrieval-augmented generation at scale. Ultimate Milvus Vector Database for AI Apps provides a comprehensive, hands-on guide to building production-grade AI applications using Milvus, the leading open-source vector database, combining mathematical foundations with practical engineering depth. You begin with the core mathematics of AI and Deep Learning, then progress through the architecture of vector databases, embedding models, and similarity search APIs. The book covers how Milvus manages vector indices, handles large-scale data ingestion, and integrates with modern AI pipelines, including LLMs and generative AI workflows. This book is for all AI engineers, ML practitioners, and software architects who want to build scalable AI applications using vector databases. A working knowledge of engineering mathematics, probability theory, Python, and basic database design is expected; no prior Milvus experience is required.