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Podcasty
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.
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.
Yuri Diogenes, Dr. Erdal Ozkaya
Cybersecurity – Attack and Defense Strategies, Second Edition is a completely revised new edition of the bestselling book, covering the very latest security threats and defense mechanisms including a detailed overview of Cloud Security Posture Management (CSPM) and an assessment of the current threat landscape, with additional focus on new IoT threats and cryptomining.Cybersecurity starts with the basics that organizations need to know to maintain a secure posture against outside threat and design a robust cybersecurity program. It takes you into the mindset of a Threat Actor to help you better understand the motivation and the steps of performing an actual attack – the Cybersecurity kill chain. You will gain hands-on experience in implementing cybersecurity using new techniques in reconnaissance and chasing a user’s identity that will enable you to discover how a system is compromised, and identify and then exploit the vulnerabilities in your own system.This book also focuses on defense strategies to enhance the security of a system. You will also discover in-depth tools, including Azure Sentinel, to ensure there are security controls in each network layer, and how to carry out the recovery process of a compromised system.
Managing Data as a Product. Design and build data-product-centered socio-technical architectures
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.
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.
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
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
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.
In this AI era, employing leading machine learning and AI models such as ChatGPT for responding to customer feedback and prototyping applications is crucial to drive business success in the competitive market. This book is an indispensable guide to integrating cutting-edge technology into business operations and leveraging AI to analyze sentiment at scale, helping free up valuable time to enhance customer relationships.Immerse yourself in the future of AI-enabled application development by working with Power Automate, Power Apps, and the new Copilot Studio. With this book, you’ll learn foundational AI concepts as you explore the extensive capabilities of the low-code Power Platform. You’ll see how Microsoft's advanced machine learning technologies can streamline common business tasks such as extracting key data elements from customer documents, reviewing customer emails, and validating passports and drivers’ licenses. The book also guides you in harnessing the power of generative AI to expedite tasks like creating executive summaries, building presentations, and analyzing resumes. You’ll build apps using natural language prompting and see how ChatGPT can be used to power chatbots in your organization.By the end of this book, you’ll have charted your path to developing your own reusable AI automation patterns to propel your business operations into the future.
Domain-driven design (DDD) is one of the most sought-after skills in the industry. This book provides you with step-by-step explanations of essential concepts and practical examples that will see you introducing DDD in your Go projects in no time. Domain-Driven Design with Golang starts by helping you gain a basic understanding of DDD, and then covers all the important patterns, such as bounded context, ubiquitous language, and aggregates. The latter half of the book deals with the real-world implementation of DDD patterns and teaches you how to build two systems while applying DDD principles, which will be a valuable addition to your portfolio. Finally, you’ll find out how to build a microservice, along with learning how DDD-based microservices can be part of a greater distributed system. Although the focus of this book is Golang, by the end of this book you’ll be able to confidently use DDD patterns outside of Go and apply them to other languages and even distributed systems.
The complete everyday reference guide to Power BI, written by an internationally recognized Power BI expert duo, is back with a new and updated edition.Packed with revised practical recipes, Microsoft Power BI Cookbook, Second Edition, helps you navigate Power BI tools and advanced features. It also demonstrates the use of end-to-end solutions that integrate those features to get the most out of Power BI. With the help of the recipes in this book, you’ll gain advanced design and development insight, practical tips, and guidance on enhancing existing Power BI projects.The updated recipes will equip you with everything you need to know to implement evergreen frameworks that will stay relevant as Power BI updates. You’ll familiarize yourself with Power BI development tools and services by going deep into the data connectivity, transformation, modeling, visualization, and analytical capabilities of Power BI. By the end of this book, you’ll make the most of Power BI’s functional programming languages of DAX and M and deliver powerful solutions to common business intelligence challenges.
Tekton is a powerful yet flexible Kubernetes-native open source framework for creating continuous integration and continuous delivery (CI/CD) systems. It enables you to build, test, and deploy across multiple cloud providers or on-premise systems.Building CI/CD Systems Using Tekton covers everything you need to know to start building your pipeline and automating application delivery in a cloud-native environment. Using a hands-on approach, you will learn about the basic building blocks, such as tasks, pipelines, and workspaces, which you can use to compose your CI/CD pipelines. As you progress, you will understand how to use these Tekton objects in conjunction with Tekton Triggers to automate the delivery of your application in a Kubernetes cluster.By the end of this book, you will have learned how to compose Tekton Pipelines and use them with Tekton Triggers to build powerful CI/CD systems.