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Gesamtkatalog

Catalogue complet

Professional and Applied Computing (R0)

Rahul Sharma

Avinash Singh

Getting Started with Istio Service Mesh

Manage Microservices in Kubernetes

&lt;div&gt;Chapter 1:&amp;nbsp; Quick tour of Kubernetes.-&amp;nbsp;Chapter 2:&amp;nbsp; Introduction to Service Mesh.-&amp;nbsp;Chapter 3:&amp;nbsp; Installing Istio.-&amp;nbsp;Chapter 4:&amp;nbsp; Istio Gateway.-&amp;nbsp;Chapter&amp;nbsp; 5: Service Deployment.-&amp;nbsp;Chapter&amp;nbsp; 6: Service Resiliency.-&amp;nbsp;Chapter&amp;nbsp; 7: Istio Pilot and Application Metrics.-&amp;nbsp;Chapter&amp;nbsp; 8: Monitoring, Logs and Request Tracing.-&amp;nbsp;Chapter&amp;nbsp; 9: Quota and Policies.-&amp;nbsp;Chapter&amp;nbsp; 10: Service Debugging.&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;

Explore PHP 8, from foundational concepts to the advanced, modern features that drive today’s web applications. Whether you are a beginner, an experienced developer, or returning to PHP after some time away, this book offers practical techniques to help you write cleaner, more efficient code.&nbsp;
The book starts with a detailed guide on setting up a variety of systems for PHP development tailored to your needs. PHP's data handling features are explained in detail, with reference to the underlying architecture of modern computers, before moving on to language concepts and features. Finally, PHP 8 is placed in its context as a leading programming language for the internet, with features explained in tandem with the relevant core internet technologies.&nbsp;
You will learn how to correctly handle multibyte text, a classic source of bugs in web development. You will explore PHP’s object-oriented features, gaining a clear understanding of how objects work and how to design and use them effectively. Throughout the book, PHP 8’s latest features are showcased and explained through a wealth of code examples and detailed explanations. &nbsp;
You Will:&nbsp;

Understand the basics of computer programming, data representation, and web development.&nbsp;


Master object-oriented design in PHP using advanced PHP 8 features.&nbsp;


Work in different environments, including Docker.&nbsp;


Review common mistakes and how to avoid them.&nbsp;


Handle numbers, text, structured data, and manage dates and times effectively.&nbsp;


Analyze problems and implement code solutions.&nbsp;


Apply techniques for debugging and error handling.&nbsp;

Small Steps to Giant Leaps

Exploring PHP 8

Do you want to create data analysis reports without writing a line of code? This book introduces SAS Studio, a free, web-based data science product for educational and non-commercial purposes. The power of SAS Studio lies in its visual, point-and-click user interface, which generates SAS code. It is easier to learn SAS Studio than to learn R and Python to accomplish data cleaning, statistics, and visualization tasks.
The book includes a case study analyzing the data required to predict the results of presidential elections in the state of Maine for 2016 and 2020. In addition to the presidential elections, the book provides real-life examples, including analyses of stock, oil, and gold prices, crime, marketing, and healthcare. You will see data science in action and how easily it can be performed using complicated tasks and visualizations in SAS Studio.
You will learn, step by step, how to perform visualizations, including creating maps. In most cases, you will not need a line of code as you work with the SAS Studio graphical user interface. The book includes explanations of the code that SAS Studio generates automatically. You will learn how to edit this code to perform more complicated advanced tasks.
&nbsp;
What You Will Learn&nbsp;
<ul>
Become familiar with the SAS Studio IDE.
<li>How to create essential visualizations.</li>
<li>Know the fundamental statistical analysis required in most data science and analytics reports.</li>
<li>Clean the most common dataset problems</li>
<li>Learn linear and logistic regression for data prediction and analysis.</li>
<li>Write programs in SAS.</li>
<li>How to analyze data and get insights from it for decision-making.</li>
Learn character, numeric, date, time, and datetime functions and typecasting.
</ul>

From Clicks to Code

Learn Data Science Using SAS Studio

Ready to learn programming with less effort and more fun? Then do it the lazy way! C++26 for Lazy Programmers uses humor and fun to make you actually willing to read and eager to do the projects as you master the popular and powerful C++ language.
Along the way it introduces features from the new C++26 standard including increased support for compile-time computation with constexpr and static_assert, as well as contracts, and covers ranges, views, move semantics, format strings, smart pointers, lambda functions and concepts (template parameter requirements), and provides brief introductions to coroutines and lazy evaluation.
With this unique method, you’ll stretch your abilities with a variety of projects, including your own C++ arcade game. You'll construct your own classes, templates, and abstract data types. After reading and using this book you’ll be ready to build real-world C++ applications and game projects on your own.
What You:&nbsp;
<ul>
<li>
<ul>
<li>Explore the brand-new C++26 standard</li>
<li>Program graphics and games with the SDL library, using SSDL, the "Simple SDL" wrapper library</li>
<li>Use the most common C++ compilers – Visual Studio in Windows; g++ with Ubuntu, Fedora, Manjaro or Debian Unix, or MSys2 – and their associated debuggers</li>
<li>Apply “anti-bugging” techniques for easy fixes to common problems</li>
<li>Incorporate best practices for becoming a productive programmer</li>
<li>Create your own big projects, including a C++-based arcade game</li>
Leverage STL functions and classes for easy and efficient programming
<li>Handle the Unicode (UTF-8) output</li>
<li>Understand the uses and limits of views for efficiently pipelining data</li>
<li>Learn core data types (strings, queues, vectors, linked lists) not by reading about them but by building them from scratch</li>
<li>Navigate the basics of C, the still powerful and popular ancestor of C++</li>
</ul>


</li></ul>

Quick, Easy, and Fun C++ for Beginners

C++26 for Lazy Programmers

The book simplifies the complexities of cloud transition and offers a clear, actionable roadmap for organizations moving from SAP BW or BW/4HANA to SAP Datasphere and SAP Analytics Cloud (as part of SAP Business Data Cloud), particularly in alignment with S/4HANA transformation.&nbsp;Whether you are assessing your current landscape, building a business case with ROI analysis, or creating a phased implementation strategy, this book delivers both technical and strategic guidance. It highlights short- and long-term planning considerations, outlines migration governance, and provides best practices for managing projects across hybrid SAP environments. From identifying platform gaps to facilitating stakeholder discussions, this book is an essential resource for anyone involved in the analytics modernization journey.&nbsp;&nbsp;&nbsp;&nbsp;You Will:&nbsp;·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Learn how to assess your current SAP BW or BW/4HANA landscape and identify key migration drivers·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Understand best practices for leveraging out-of-the-box cloud features and AI/ML capabilities·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; A step-by-step approach to planning and executing the move to SAP Business Data Cloud (Mainly SAP Datasphere and SAP Analytics Cloud)&nbsp;&nbsp;

A Strategic Guidance to Migrating to SAP Business Data Cloud (SAP Datasphere and SAP Analytics Cloud)

Modernizing SAP Business Warehouse

Generative AI (Gen AI) represents a transformational technological shift by enabling the rapid creation of text, images, audio, and video through learning from vast amounts of human-generated data. Unlike traditional programming that relies on explicit instructions, Gen AI leverages machine learning to recognize patterns and generate content autonomously.


SAP has embraced this revolution with its SAP BTP Generative AI Hub-a comprehensive platform designed to safely integrate generative AI and large language models into enterprise applications, with seamless support across its product suite including S/4 HANA, CRM, and HXM.


This book provides a complete roadmap for understanding and applying these groundbreaking technologies. It begins by exploring the origins and core concepts of AI, deep learning, and transformer architectures, before delving into SAP's AI Core and Generative AI Hub offerings. Through detailed, step-by-step examples, readers will learn to build enterprise use cases and discover the potential of Agentic AI for addressing real-world business challenges, making this a must-read for professionals seeking to drive innovation and efficiency in their organizations.


 


You Will:


 Gain a solid understanding of artificial intelligence, deep learning, and transformer architectures, and how these concepts power generative AI.

 Dive into SAP's innovative AI offerings, exploring how the SAP BTP Generative AI Hub integrates generative AI and large language models safely into enterprise applications.

 Understand how SAP's generative AI capabilities are embedded across its product suite including S/4 HANA, CRM, and HXM.





This book is for:


Enterprise IT Professionals and Developers, Solution Architects.

SAP BTP Business AI Foundation and the Future of Business Applications

Building an Intelligent Enterprise with SAP Business AI

This book is a comprehensive guide designed to equip you with the practical skills and knowledge necessary to tackle real-world data challenges using Open Source solutions. Focusing on 10 real-world data engineering projects, it caters specifically to data engineers at the early stages of their careers, providing a strong foundation in essential open source tools and techniques such as Apache Spark, Flink, Airflow, Kafka, and many more.
Each chapter is dedicated to a single project, starting with a clear presentation of the problem it addresses. You will then be guided through a step-by-step process to solve the problem, leveraging widely-used open-source data tools. This hands-on approach ensures that you not only understand the theoretical aspects of data engineering but also gain valuable experience in applying these concepts to real-world scenarios.
At the end of each chapter, the book delves into common challenges that may arise during the implementation of the solution, offering practical advice on troubleshooting these issues effectively. Additionally, the book highlights best practices that data engineers should follow to ensure the robustness and efficiency of their solutions. A major focus of the book is using open-source projects and tools to solve problems encountered in data engineering. 
In summary, this book is an indispensable resource for data engineers looking to build a strong foundation in the field. By offering practical, real-world projects and emphasizing problem-solving and best practices, it will prepare you to tackle the complex data challenges encountered throughout your career. Whether you are an aspiring data engineer or looking to enhance your existing skills, this book provides the knowledge and tools you need to succeed in the ever-evolving world of data engineering.


You Will Learn:

The foundational concepts of data engineering and practical experience in solving real-world data engineering problems

How to proficiently use open-source data tools like Apache Kafka, Flink, Spark, Airflow, and Trino

10 hands-on data engineering projects

Troubleshoot common challenges in data engineering projects





Who is this book for: Early-career data engineers and aspiring data engineers who are looking to build a strong foundation in the field; mid-career professionals looking to transition into data engineering roles; and technology enthusiasts interested in gaining insights into data engineering practices and tools.

Solving Everyday Data Challenges with Spark, Iceberg, Kafka, Flink, and More

Practical Data Engineering with Apache Projects

Chapter 1: Introduction to RHEL AI.- Chapter 2: Setting Up RHEL AI.- Chapter 3: Exploring Core Components.- Chapter 4: Advanced Features of RHEL AI.- Chapter 5: Developing Custom AI Applications.- Chapter 6: Monitoring and Maintenance.- Chapter 7: Use Cases and Best Practices.- Chapter 8: Future Trends in RHEL AI.- Chapter 9: Community and Support.

Designing, Deploying and Scaling AI Solutions with Red Hat Enterprise Linux

Practical RHEL AI

Lecture Notes in Computer Science

This book LNCS 16213 constitutes the refereed proceedings of the 29th International Conference on Enterprise Design, Operations, and Computing, EDOC 2025, held in Lisbon, Portugal, during September 9–12, 2025.

The 19 full papers were carefully reviewed and seleced from 73 submissions. They were categorized under topical sections as follows:

1) Enterprise Architecture

2) Business Process Management

3) Business Processes &amp; Decision-Making

4) Modeling and Modeling Methods

5) Ontologies

6) Artificial Intelligence and Agents

29th International Conference, EDOC 2025, Lisbon, Portugal, September 9–12, 2025, Revised Selected Papers

Enterprise Design, Operations, and Computing

Dr Amanyi is a Technical thought leader and Enterprise Architect, partnering with Product owners/ sponsors to develop and deliver a portfolio of technology solutions that fulfill strategic objectives &amp; business needs. Specialties includes Design Planning, Implementation, Orchestrating security solution, Application lifecycle management, Al Governance, Cyber-Security Program, Program Management, Vendor management, Data management, DevOps, Technical Consulting, &amp; Digital Business Transformation with over 20 years experience in consulting space.

THE DOCTRINE OF AI GOVERNANCE

Dieses Buch plädiert für einen Paradigmenwechsel in der digitalen Wirtschaft: Statt auf immer größere, zentralisierte Strukturen zu setzen, zeigt Anselm Küsters, wie Plattformen, Open Source, Blockchain und kleine KI-Modelle genutzt werden können, um lokale Ökonomien, Gemeinschaften und mittelständische Unternehmen zu stärken. Mit interdisziplinärer Perspektive und konkreten Beispielen liefert das Buch einen Kompass für alle, die in einer Zeit der Polykrisen nach nachhaltigen, gerechten und resilienten Wirtschaftsmodellen suchen.

Mit digitaler Dezentralisierung zu einer menschlicheren Wirtschaft

Small is beautiful 2.0

Gain cutting-edge skills in crafting reliable, efficient end-to-end tests with Playwright Test. This book is your comprehensive guide to Playwright Test that will help you to create and debug blazing fast tests, and integrate and customize Playwright Test to fit your testing needs.&nbsp;
The book begins with an introduction to Playwright and teaches you the fundamentals of how to write tests efficiently. The book then gets into concepts like Locators and explain how to set up a CI using Playwright Test. After this, you will gain experience in two important aspects of testing – speed and customization. You will then be taken through a deep dive into Fixtures followed by an exploration of strategies like mocking and emulation through which you can achieve more control of the testing environment. The book also provides a detailed discussion on flakiness and how Playwright Test can help you with it. It then teaches you how to automate tests and ends with a discussion on how Playwright Test changes the landscape of testing, and how to integrate it in your daily practices and testing strategy.
By reading this book, you will become an expert in the specificities of Playwright Test and how to test critical user flows, reduce bugs in production, and ultimately ship reliable software with confidence.
What You Will Learn
<ul>
<li>Create and debug reliable end-to-end tests efficiently with the perfect locators</li>
<li>Set up a CI using Playwright Test to get results, test reports and useful traces</li>
<li>Understand how to use and write Fixtures</li>
<li>Customize Playwright to fit your needs</li>
</ul>

Next-Generation Web Testing and Automation

Practical Playwright Test

Apress Pocket Guides

Discover a focused and practical introduction to creational design patterns in Java. This book is designed to help busy Java developers quickly understand the importance of high-quality software design, showing how creational patterns contribute to building flexible, maintainable, and scalable applications.

You will explore five key patterns: Simple Factory, Factory Method, Singleton, Builder, and Prototype—along with an insightful discussion on Dependency Injection. Each pattern is explained with real-world scenarios, practical examples, and complete Java implementations using the latest language version. It also includes Q&amp;A sessions throughout the book to help reinforce understanding and prepare you for technical interviews.

This pocket guide is concise and beginner-friendly. It offers a modern approach for busy Java developers seeking to master creational design patterns without feeling overwhelmed.

What You Will Learn: 

Understand the core concepts and benefits of design patterns.

Explore real-world applications of creational design patterns.

Implement each pattern hands-on using the latest version of Java.

Compare traditional patterns with their alternatives, analyzing pros and cons.

Prepare for technical interviews through interactive Q&amp;A sessions.




Who This Book is for: 

Java developers with OOP experience who are new to design patterns and want to strengthen their software design skills.

Designing Flexible, Scalable, and Reliable Software

Creational Design Patterns in Java

Getting Started with Istio Service Mesh

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