Distributed Data Systems with Azure Databricks. Create, deploy, and manage enterprise data pipelines

Alan Bernardo Palacio

Microsoft Azure Databricks helps you to harness the power of distributed computing and apply it to create robust data pipelines, along with training and deploying machine learning and deep learning models. Databricks' advanced features enable developers to process, transform, and explore data. Distributed Data Systems with Azure Databricks will help you to put your knowledge of Databricks to work to create big data pipelines. The book provides a hands-on approach to implementing Azure Databricks and its associated methodologies that will make you productive in no time. Complete with detailed explanations of essential concepts, practical examples, and self-assessment questions, you’ll begin with a quick introduction to Databricks core functionalities, before performing distributed model training and inference using TensorFlow and Spark MLlib. As you advance, you’ll explore MLflow Model Serving on Azure Databricks and implement distributed training pipelines using HorovodRunner in Databricks. Finally, you’ll discover how to transform, use, and obtain insights from massive amounts of data to train predictive models and create entire fully working data pipelines. By the end of this MS Azure book, you’ll have gained a solid understanding of how to work with Databricks to create and manage an entire big data pipeline.

Microsoft Lync 2013 Unified Communications: From Telephony to Real Time Communication in the Digital Age. Being ahead of the game in communications is a great business asset. This book will educate you in the recent thinking on Unified Communications and clarify the technical side. It’s a revelatory read for both corporate and IT decision makers

Daniel Valik

Mastering Concurrency Programming with Java 8. Master the principles and techniques of multithreaded programming with the Java 8 Concurrency API

Javier Fernández González

Concurrency programming allows several large tasks to be divided into smaller sub-tasks, which are further processed as individual tasks that run in parallel. All the sub-tasks are combined together once the required results are achieved; they are then merged to get the final output. The whole process is very complex. This process goes from the design of concurrent algorithms to the testing phase where concurrent applications need extra attention. Java includes a comprehensive API with a lot of ready-to-use components to implement powerful concurrency applications in an easy way, but with a high flexibility to adapt these components to your needs.The book starts with a full description of design principles of concurrent applications and how to parallelize a sequential algorithm. We'll show you how to use all the components of the Java Concurrency API from basics to the most advanced techniques to implement them in powerful concurrency applications in Java.You will be using real-world examples of complex algorithms related to machine learning, data mining, natural language processing, image processing in client / server environments. Next, you will learn how to use the most important components of the Java 8 Concurrency API: the Executor framework to execute multiple tasks in your applications, the phaser class to implement concurrent tasks divided into phases, and the Fork/Join framework to implement concurrent tasks that can be split into smaller problems (using the divide and conquer technique). Toward the end, we will cover the new inclusions in Java 8 API, the Map and Reduce model, and the Map and Collect model. The book will also teach you about the data structures and synchronization utilities to avoid data-race conditions and other critical problems. Finally, the book ends with a detailed description of the tools and techniques that you can use to test a Java concurrent application.

The DevOps 2.4 Toolkit. Continuous Deployment to Kubernetes: Continuously deploying applications with Jenkins to a Kubernetes cluster

Viktor Farcic

Building on The DevOps 2.3 Toolkit: Kubernetes, Viktor Farcic brings his latest exploration of the Docker technology as he records his journey to continuously deploying applications with Jenkins into a Kubernetes cluster.The DevOps 2.4 Toolkit: Continuously Deploying Applications with Jenkins to a Kubernetes Cluster is the latest book in Viktor Farcic’s series that helps you build a full DevOps Toolkit. This book guides readers through the process of building, testing, and deploying applications through fully automated pipelines.Within this book, Viktor will cover a wide-range of emerging topics, including an exploration of continuous delivery and deployment in Kubernetes using Jenkins. It also shows readers how to perform continuous integration inside these clusters, and discusses the distribution of Kubernetes applications, as well as installing and setting up Jenkins.Work with Viktor and dive into the creation of self-adaptive and self-healing systems within Docker.

Building a Web Application with PHP and MariaDB: A Reference Guide. Build fast, secure, and interactive web applications using this comprehensive guide

Sai S Sriparasa

R for Data Science. Learn and explore the fundamentals of data science with R

Dan Toomey

Jumpstart Logic Pro 10.6. Create professional music with Apple’s flagship digital audio workstation app

Jay Asher

Logic Pro is Apple’s flagship application for music creation, found in many professional music studios across the globe. It is a powerful digital audio workstation that comes with all the software tools that you need to create music that sounds great. In the previous version, Logic Pro 10.5, Apple had added impressive features to what was already a full package of tools, loops, FX plug-ins, and software instruments.Providing a comprehensive introduction if you’re new to Mac computer music creation, this practical guide will show you how to use Logic Pro and have you up to speed in no time.You’ll not only understand what Apple’s Logic Pro software can do but also get hands-on with using it to accomplish various musical tasks. The book starts by getting you up and running with the basic terminologies. As you progress, you’ll explore how to create audio and MIDI musical parts. To build on your knowledge further, the book will guide you through developing an automated mix. In addition to this, you’ll learn how to bounce mixes and audio files for distribution.By the end of this book, you’ll be well-versed with Logic Pro and have the skills you need to create professional-quality music.

Adopting .NET 5. Understand modern architectures, migration best practices, and the new features in .NET 5

Hammad Arif, Habib Qureshi

.NET 5 is the unification of all .NET technologies in a single framework that can run on all platforms and provide a consistent experience to developers, regardless of the device, operating system (OS), or cloud platform they choose.By updating to .NET 5, you can build software that can quickly adapt to the rapidly changing demands of modern consumers and stay up to date on the latest technology trends in .NET.This book provides a comprehensive overview of all the technologies that will form the future landscape of .NET using practical examples based on real-world scenarios, along with best practices to help you migrate from legacy platforms.You’ll start by learning about Microsoft’s vision and rationale for the unification of the platforms. Then, you’ll cover all the new language enhancements in C# 9. As you advance, you’ll find out how you can align yourself with modern technology trends, focusing on everything from microservices to orchestrated containerized deployments. Finally, you’ll learn how to effectively integrate machine learning in .NET code.By the end of this .NET book, you’ll have gained a thorough understanding of the .NET 5 platform, together with a readiness to adapt to future .NET release cycles, and you’ll be able to make architectural decisions about porting legacy systems and code bases to a newer platform.