Enterprise LMS with Adobe Captivate Prime. Design and develop world-class learning experiences for your employees, partners, and customers

Damien Bruyndonckx

Adobe Captivate Prime is an enterprise learning management system (LMS) that enables organizations to deliver, manage, and track engaging learning experiences for employees, partners, and customers. This book will help you unlock the full potential of this platform to deliver world-class learning experiences.Complete with walkthroughs, examples, and strategies to fully understand Captivate Prime, this book will set you on the path to becoming an administrator, author, or teacher and see you experiment with Captivate Prime from different perspectives. You'll gain an in-depth understanding of how the features relate to one another and to your business.After setting up the platform, you'll learn how to push learning content online and arrange it to build an online course that provides a blended learning experience. You'll be able to deploy your content to different devices and explore Captivate Prime's features for monitoring your students' progress on a daily basis. Finally, you'll see how to organize and maintain your course catalog and take the learner experience to the next level.By the end of the book, you’ll be able to implement your organization’s training strategy and provide engaging learning experiences while building meaningful reports to monitor their effectiveness.

Hands-On SQL Server 2019 Analysis Services. Design and query tabular and multi-dimensional models using Microsoft's SQL Server Analysis Services

Steve Hughes, Adam Jorgensen

SQL Server Analysis Services (SSAS) continues to be a leading enterprise-scale toolset, enabling customers to deliver data and analytics across large datasets with great performance. This book will help you understand MS SQL Server 2019’s new features and improvements, especially when it comes to SSAS.First, you’ll cover a quick overview of SQL Server 2019, learn how to choose the right analytical model to use, and understand their key differences. You’ll then explore how to create a multi-dimensional model with SSAS and expand on that model with MDX. Next, you’ll create and deploy a tabular model using Microsoft Visual Studio and Management Studio. You'll learn when and how to use both tabular and multi-dimensional model types, how to deploy and configure your servers to support them, and design principles that are relevant to each model. The book comes packed with tips and tricks to build measures, optimize your design, and interact with models using Excel and Power BI. All this will help you visualize data to gain useful insights and make better decisions. Finally, you’ll discover practices and tools for securing and maintaining your models once they are deployed.By the end of this MS SQL Server book, you’ll be able to choose the right model and build and deploy it to support the analytical needs of your business.

Exam Ref AZ-104 Microsoft Azure Administrator Certification and Beyond. Master Azure administration and pass the AZ-104 exam with confidence - Third Edition

Donovan Kelly

Take the first step toward excellence in Azure management and earning your Microsoft certification with this hands-on guide!This third edition of Exam Ref AZ-104 Microsoft Azure Administrator Certification and Beyond offers comprehensive insights and step-by-step instructions that follow the latest AZ-104 exam objectives. You’ll work your way from foundational topics such as Azure identity management and governance to essential skills such as deploying and managing storage solutions, configuring virtual networks, and monitoring Azure resources. Each chapter includes practice questions to reinforce your understanding and enhance your practical skills. The book also provides you with access to online mock exams, interactive flashcards, and expert exam tips, helping you assess your readiness and boost your confidence before the exam.By the end of this book, you won’t just be prepared to pass the AZ-104 exam – you’ll also have the expertise needed to efficiently manage Azure environments in real-world scenarios.

Multithreading in C# 5.0 Cookbook. Multithreaded programming can seem overwhelming but this book clarifies everything through its cookbook approach. Packed with practical tasks, it's the quick and easy way to start delving deep into the power of multithreading in C#

Evgenii Agafonov

In an age when computer processors are being developed to contain more and more cores, multithreading is a key factor for creating scalable, effective, and responsive applications. If you fail to do it correctly, it can lead to puzzling problems that take a huge amount of time to resolve. Therefore, having a solid understanding of multithreading is a must for the modern application developer. Multithreading in C# 5.0 Cookbook is an easy-to-understand guide to the most puzzling programming problems. This book will guide you through practical examples dedicated to various aspects of multithreading in C# on Windows and will give you a good basis of practical knowledge which you can then use to program your own scalable and reliable multithreaded applications. This book guides you through asynchronous and parallel programming from basic examples to practical, real-world solutions to complex problems. You will start from the very beginning, learning what a thread is, and then proceed to learn new concepts based on the information you get from the previous examples.After describing the basics of threading, you will be able to grasp more advanced concepts like Task Parallel Library and C# asynchronous functions. Then, we move towards parallel programming, starting with basic data structures and gradually progressing to the more advanced patterns. The book concludes with a discussion of the specifics of Windows 8 application programming, giving you a complete understanding of how Windows 8 applications are different and how to program asynchronous applications for Windows 8.

Instant Creating Data Models with PowerPivot How-to. Build better business intelligence with this practical guide to creating Excel data models with PowerPivot

Leo Taehyung Lee, Taehyung Lee

Microsoft PowerPivot is a free software designed to enhance Microsoft Excel. It allows the user to make extensive use of his/her computer's powers to draw data from various sources, do analysis across millions of rows of data, and present results in a very unique format.Instant Creating Data Models with PowerPivot How-to is a concise and to-the-point guide that helps you get a jump start on using this strong business intelligence tool, while still working in an environment similar to Excel. You will begin with data generation and manipulation, learning a new feature at each step by building onto the old file, and ultimately creating a comprehensive file.Instant Creating Data Models with PowerPivot How-to will guide the user through database installation, importing data from various sources, creating pivot charts and tables, utilizing a unique feature of PowerPivot called slicers,adding custom columns, and setting custom relationships between data to generate the ultimate customized dataset for analysis. By the end of the book and all the sections of Microsoft PowerPivot for Excel, the reader will be fully experienced and ready to utilize this powerful software.

Docker Deep Dive. Zero to Docker in a single book - Fourth Edition

Nigel Poulton

This book begins by introducing Docker, its transformative role in modern application development, and why containerization has become essential in the tech industry. The first part builds a strong foundation by explaining core concepts such as containers, images, and the benefits of cloud-native development. Readers will also learn the history of Docker, its comparison to virtual machines, and how it is shaping emerging technologies like AI, WebAssembly, and Kubernetes.The second part dives deep into hands-on technical skills. Readers will explore Docker Engine architecture, work with images, containers, and multi-container apps, and use Docker Compose for real-world scenarios. Topics like container orchestration with Docker Swarm, advanced networking, overlay networks, and persistent storage are explained in detail. Readers will also gain practical knowledge on security, debugging containers, and vulnerability scanning with Docker Scout.By the end, readers will have a comprehensive understanding of Docker, from setup to scaling production-grade applications. Whether deploying AI-based apps, containerizing existing workloads, or mastering orchestration, this book provides the skills needed to thrive in a rapidly evolving tech landscape.

Modern DevOps Practices. Implement and secure DevOps in the public cloud with cutting-edge tools, tips, tricks, and techniques

Gaurav Agarwal

Containers have entirely changed how developers and end-users see applications as a whole. With this book, you'll learn all about containers, their architecture and benefits, and how to implement them within your development lifecycle.You'll discover how you can transition from the traditional world of virtual machines and adopt modern ways of using DevOps to ship a package of software continuously. Starting with a quick refresher on the core concepts of containers, you'll move on to study the architectural concepts to implement modern ways of application development. You'll cover topics around Docker, Kubernetes, Ansible, Terraform, Packer, and other similar tools that will help you to build a base. As you advance, the book covers the core elements of cloud integration (AWS ECS, GKE, and other CaaS services), continuous integration, and continuous delivery (GitHub actions, Jenkins, and Spinnaker) to help you understand the essence of container management and delivery. The later sections of the book will take you through container pipeline security and GitOps (Flux CD and Terraform).By the end of this DevOps book, you'll have learned best practices for automating your development lifecycle and making the most of containers, infrastructure automation, and CaaS, and be ready to develop applications using modern tools and techniques.

Practical Machine Learning on Databricks. Seamlessly transition ML models and MLOps on Databricks

Debu Sinha

Unleash the potential of databricks for end-to-end machine learning with this comprehensive guide, tailored for experienced data scientists and developers transitioning from DIY or other cloud platforms. Building on a strong foundation in Python, Practical Machine Learning on Databricks serves as your roadmap from development to production, covering all intermediary steps using the databricks platform. You’ll start with an overview of machine learning applications, databricks platform features, and MLflow. Next, you’ll dive into data preparation, model selection, and training essentials and discover the power of databricks feature store for precomputing feature tables. You’ll also learn to kickstart your projects using databricks AutoML and automate retraining and deployment through databricks workflows. By the end of this book, you’ll have mastered MLflow for experiment tracking, collaboration, and advanced use cases like model interpretability and governance. The book is enriched with hands-on example code at every step. While primarily focused on generally available features, the book equips you to easily adapt to future innovations in machine learning, databricks, and MLflow.