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.

Machine Learning: End-to-End guide for Java developers. Data Analysis, Machine Learning, and Neural Networks simplified

Boštjan Kaluža, Krishna Choppella, Uday Kamath

Machine Learning is one of the core area of Artificial Intelligence where computers are trained to self-learn, grow, change, and develop on their own without being explicitly programmed. In this course, we cover how Java is employed to build powerful machine learning models to address the problems being faced in the world of Data Science. The course demonstrates complex data extraction and statistical analysis techniques supported by Java, applying various machine learning methods, exploring machine learning sub-domains, and exploring real-world use cases such as recommendation systems, fraud detection, natural language processing, and more, using Java programming. The course begins with an introduction to data science and basic data science tasks such as data collection, data cleaning, data analysis, and data visualization. The next section has a detailed overview of statistical techniques, covering machine learning, neural networks, and deep learning. The next couple of sections cover applying machine learning methods using Java to a variety of chores including classifying, predicting, forecasting, market basket analysis, clustering stream learning, active learning, semi-supervised learning, probabilistic graph modeling, text mining, and deep learning.The last section highlights real-world test cases such as performing activity recognition, developing image recognition, text classification, and anomaly detection. The course includes premium content from three of our most popular books:[*]Java for Data Science[*]Machine Learning in Java [*]Mastering Java Machine LearningOn completion of this course, you will understand various machine learning techniques, different machine learning java algorithms you can use to gain data insights, building data models to analyze larger complex data sets, and incubating applications using Java and machine learning algorithms in the field of artificial intelligence.

Instant jQuery Selectors. Learn how to master the art of effectively using jQuery's selectors

Aurelio De Rosa

jQuery's selectors is one of the most important concepts of the jQuery library. Usually, the first thing you do is to select one or more elements of a page in order to manipulate them. Therefore, to efficiently learn the usage of jQuery's selectors is one of the first steps to successfully build your website.Instant jQuery Selectors is a practical guide that will teach you how to use jQuery's selectors efficiently in order to easily select theelements of your pages to operate upon with jQuery's methods. You will go through the most common problems that you could face while developing your project and will learn how to solve them with the help of focused examples that Instant jQuery Selectors has to offer.Instant jQuery Selectors, starting from how to set up jQuery and how to choose the right version for your project, explains to you all the selectors available using a multitude of simple and practical recipes that will help you start using selectors in the right way. Reading the presented recipes you'll learn about the numerous selectors and filters of jQuery – almost 100 of them! You will see how to reuse collections, the methods to filter collections, and how to take advantage of the lesser known parameter of jQuery's constructor: context. Also, you'll discover the methods to traverse the DOM and the techniques to improve the performance of your website by just tweaking selectors.Instant jQuery Selectors is the resource to learn everything you need to know about jQuery's selectors.

Docker Deep Dive. Zero to Docker in a Single Book - Second Edition

Nigel Poulton

Most applications, even the funky cloud-native microservices ones, need high-performance, production-grade infrastructure to run on. Having impeccable knowledge of Docker will help you thrive in the modern cloud-first world. With this book, you will gain the skills you need in order to work with Docker and its containers.The book begins with an introduction to containers and explains their functionality and application in the real world. You will then get an overview of VMware, Kubernetes, and Docker and learn to install Docker on Windows, Mac, and Linux. Once you have understood the Ops and Dev perspective of Docker, you will be able to see the big picture and understand what Docker exactly does. The book then turns its attention to the more technical aspects, guiding you through practical exercises covering Docker engine, Docker images, and Docker containers. You will learn techniques for containerizing an app, deploying apps with Docker Compose, and managing cloud-native applications with Swarm. You will also build Docker networks and Docker overlay networks and handle applications that write persistent data. Finally, you will deploy apps with Docker stacks and secure your Docker environment.By the end of this book, you will be well-versed in Docker and containers and have developed the skills to create, deploy, and run applications on the cloud.