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Podcasty
Web applications are exposed to a variety of threats and vulnerabilities at the authentication, authorization, service, and domain object levels. Spring Security can help secure these applications against those threats.Spring Security is a popular application security solution for Java applications. It is widely used to secure standalone web applications, portlets, and increasingly REST applications. It is a powerful and highly customizable authentication and access-control framework. It is the de-facto standard for securing Spring-based applications and it is currently used to secure numerous demanding environments including government agencies, military applications, and central banks.Spring Security 3.x Cookbook is a repository of recipes to help you successfully secure web applications against threats and vulnerabilities at the authentication and session level layers using the Spring Security framework. We will not only explore Spring-based web applications, but also Java-based and Grails-based applications that can use Spring Security as their security framework. Apart from conventional web applications, we will also look at securing portlets, RESTful web service applications, and other non-web applications.This book will also take you through how to integrate Spring Security with other popular web frameworks/technologies such as Vaadin, EJB, and GWT. In addition to testing and debugging the implemented security measures, this book will also delve into finer aspects of Spring Security implementation such as how it deals with concurrency, multitenancy, and customization, and we will even show you how to disable it.This book gives you an overview of Spring Security and its implementation with various frameworks. It starts with container-based authentication before taking you on a tour of the main features of Spring Security. It demonstrates security concepts like BASIC, FORM, and DIGEST authentication and shows you how to integrate the Spring Security framework with various frameworks like JSF, struts2, Vaadin, and more.The book also demonstrates how to utilize container managed security without JAAS. Then, we move on to setting up a struts2 application before showing you how to integrate Spring Security with other frameworks like JSF, Groovy, Wicket, GWT, and Vaadin respectively.This book will serve as a highly practical guide and will give you confidence when it comes to applying security to your applications. It's packed with simple examples which show off each concept of Spring Security and which help you learn how it can be integrated with various frameworks.
For beginners and experienced IT risk professionals alike, acing the ISACA CRISC exam is no mean feat, and the application of this advanced skillset in your daily work poses a challenge. The ISACA Certified in Risk and Information Systems Control (CRISC®) Certification Guide is a comprehensive guide to CRISC certification and beyond that’ll help you to approach these daunting challenges with its step-by-step coverage of all aspects of the exam content and develop a highly sought-after skillset in the process.This book is divided into six sections, with each section equipped with everything you need to get to grips with the domains covered in the exam. There’ll be no surprises on exam day – from GRC to ethical risk management, third-party security concerns to the ins and outs of control design, and IDS/IPS to the SDLC, no stone is left unturned in this book’s systematic design covering all the topics so that you can sit for the exam with confidence. What’s more, there are chapter-end self-assessment questions for you to test all that you’ve learned, as well as two book-end practice quizzes to really give you a leg up.By the end of this CRISC exam study guide, you’ll not just have what it takes to breeze through the certification process, but will also be equipped with an invaluable resource to accompany you on your career path.
Diego Cantor, Brandon Jones, Khronos
WebGL is a new web technology that brings hardware-accelerated 3D graphics to the browser without installing additional software. As WebGL is based on OpenGL and brings in a new concept of 3D graphics programming to web development, it may seem unfamiliar to even experienced Web developers.Packed with many examples, this book shows how WebGL can be easy to learn despite its unfriendly appearance. Each chapter addresses one of the important aspects of 3D graphics programming and presents different alternatives for its implementation. The topics are always associated with exercises that will allow the reader to put the concepts to the test in an immediate manner.WebGL Beginner's Guide presents a clear road map to learning WebGL. Each chapter starts with a summary of the learning goals for the chapter, followed by a detailed description of each topic. The book offers example-rich, up-to-date introductions to a wide range of essential WebGL topics, including drawing, color, texture, transformations, framebuffers, light, surfaces, geometry, and more. With each chapter, you will level upù your 3D graphics programming skills. This book will become your trustworthy companion filled with the information required to develop cool-looking 3D web applications with WebGL and JavaScript.
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.
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.
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.