Advanced Elasticsearch 7.0. A practical guide to designing, indexing, and querying advanced distributed search engines

Wai Tak Wong

Building enterprise-grade distributed applications and executing systematic search operations call for a strong understanding of Elasticsearch and expertise in using its core APIs and latest features. This book will help you master the advanced functionalities of Elasticsearch and understand how you can develop a sophisticated, real-time search engine confidently. In addition to this, you'll also learn to run machine learning jobs in Elasticsearch to speed up routine tasks.You'll get started by learning to use Elasticsearch features on Hadoop and Spark and make search results faster, thereby improving the speed of query results and enhancing the customer experience. You'll then get up to speed with performing analytics by building a metrics pipeline, defining queries, and using Kibana for intuitive visualizations that help provide decision-makers with better insights. The book will later guide you through using Logstash with examples to collect, parse, and enrich logs before indexing them in Elasticsearch.By the end of this book, you will have comprehensive knowledge of advanced topics such as Apache Spark support, machine learning using Elasticsearch and scikit-learn, and real-time analytics, along with the expertise you need to increase business productivity, perform analytics, and get the very best out of Elasticsearch.

SFML Blueprints. Sharpen your game development skills and improve your C++ and SFML knowledge with five exciting projects

SFML, Maxime Barbier

Artificial Intelligence Engines. A Tutorial Introduction to the Mathematics of Deep Learning

James V Stone

This book is a comprehensive guide to the mathematics behind artificial intelligence engines, taking readers from foundational concepts to advanced applications. It begins with an introduction to artificial neural networks, exploring topics like perceptrons, linear associative networks, and gradient descent. Practical examples accompany each chapter, making complex mathematical principles accessible, even for those with limited prior knowledge.The book's detailed structure covers key algorithms like backpropagation, Hopfield networks, and Boltzmann machines, advancing to deep restricted Boltzmann machines, variational autoencoders, and convolutional neural networks. Modern topics such as generative adversarial networks, reinforcement learning, and capsule networks are explored in depth. Each section connects theory to real-world AI applications, helping readers understand how these techniques are used in practice.Ideal for students, researchers, and AI enthusiasts, the book balances theoretical depth with practical insights. Basic mathematical knowledge or foundation is recommended, allowing readers to fully engage with the content. This book serves as an accessible yet thorough resource for anyone eager to dive deeper into artificial intelligence and machine learning.

Salesforce Essentials for Administrators. Discover the administration fundamentals and challenges of Salesforce CRM

Mohith Shrivastava, Mohit Shrivatsava

Autodesk Civil 3D 2025 Unleashed. Elevate your civil engineering designs and advance your career with Autodesk Civil 3D

Stephen Walz, Tony Sabat

Autodesk Civil 3D 2025 Unleashed is a comprehensive guide that equips civil engineers and designers with advanced skills to unlock new levels of efficiency in their projects and careers. Divided into four parts, this book addresses different aspects of Civil 3D capabilities and extensions. Starting with elevating Civil 3D designs using Building Information Modeling (BIM) principles, you’ll develop a strong foundation in BIM and its integration into civil engineering projects. By focusing on design customization with Civil 3D extensions, this book will empower you to harness reality capture technologies, optimize grading designs, and explore content catalog customization. You'll delve into information management and automation with Civil 3D, covering property sets, Project Explorer, and workflow automation using tools like Dynamo for Civil 3D (D4C3D) and scripting. The book will also demonstrate how to prepare BIM designs within Civil 3D for a multitude of downstream uses. Finally, you’ll discover how to extend infrastructure designs beyond Civil 3D and integrate them into the BIM process with Navisworks and InfraWorks for better project collaboration and visualization. By the end of this book, you’ll be able to prepare and use BIM designs within Civil 3D and several other products for easier project creation and management.

Learning BeagleBone. Learn how to love and care for your BeagleBone and teach it tricks

Hunyue Yau

Managing Data as a Product. Design and build data-product-centered socio-technical architectures

Andrea Gioia, Giulio Scotti

Traditional monolithic data platforms struggle with scalability and burden central data teams with excessive cognitive load, leading to challenges in managing technological debt. As maintenance costs escalate, these platforms lose their ability to provide sustained value over time. With two decades of hands-on experience implementing data solutions and his pioneering work in the Open Data Mesh Initiative, Andrea Gioia brings practical insights and proven strategies for transforming how organizations manage their data assets.Managing Data as a Product introduces a modular and distributed approach to data platform development, centered on the concept of data products. In this book, you’ll explore the rationale behind this shift, understand the core features and structure of data products, and learn how to identify, develop, and operate them in a production environment. The book guides you through designing and implementing an incremental, value-driven strategy for adopting data product-centered architectures, including strategies for securing buy-in from stakeholders. Additionally, it explores data modeling in distributed environments, emphasizing its crucial role in fully leveraging modern generative AI solutions.By the end of this book, you’ll have gained a comprehensive understanding of product-centric data architecture and the essential steps needed to adopt this modern approach to data management.

IBM DB2 11.1 Certification Guide. Explore techniques to master database programming and administration tasks in IBM Db2

Robert (Kent) Collins, Mohankumar Saraswatipura

IBM Db2 is a relational database management system (RDBMS) that helps you store, analyze, and retrieve data efficiently. This comprehensive book is designed to help you master all aspects of IBM Db2 database administration and prepare you to take andpass IBM's Certification Exams C2090-600. Building on years of extensive experience,the authors take you through all areas covered by the test. The book delves deep into each certification topic: Db2 server management, physical design, business rules implementation, activity monitoring, utilities, high availability, and security. IBM Db2 11.1 Certification Guide provides you with more than 150 practice questions and answers, simulating real certification examination questions. Each chapter includes an extensive set of practice questions along with carefully explained answers.This book will not just prepare you for the C2090-600 exam but also help you troubleshoot day-to-day database administration challenges.