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Build a data platform to the industry-leading standards set by Microsoft’s own infrastructure. Summary In Data Engineering on Azure you will learn how to: Pick the right Azure services for different data scenarios Manage data inventory Implement production quality data modeling, analytics, and machine learning workloads Handle data governance Using DevOps to increase reliability Ingesting, storing, and distributing data Apply best practices for compliance and access control Data Engineering on Azure reveals the data management patterns and techniques that support Microsoft’s own massive data infrastructure. Author Vlad Riscutia, a data engineer at Microsoft, teaches you to bring an engin...
Summary Programming with Types teaches you to design safe, resilient, correct software that’s easy to maintain and understand by taking advantage of the power of strong type systems. Designed to provide practical, instantly useful techniques for working developers, this clearly written tutorial introduces you to using type systems to support everyday programming tasks. About the technology Common bugs often result from mismatched data types. By precisely naming and controlling which data are allowable in a calculation, a strong type system can eliminate whole classes of errors and ensure data integrity throughout an application. As a developer, skillfully using types in your everyday pract...
Take PowerShell beyond simple scripts and build time-saving automations for your team, your users, and the world. In Practical Automation with PowerShell you will learn how to: Build PowerShell functions to automate common and complex tasks Create smart automations that are adaptable to new challenges Structure your code for sharing and reusability Store and secure your automations Execute automations with Azure Automation, Jenkins, Task Scheduler, and Cron Share your automations with your team and non-technical colleagues Store and retrieve data, credentials, and variables Use source control solutions to maintain and test code changes Provide front-end UI solutions for PowerShell automation...
Como você pode entender o complexo cenário da IoT? Com dezenas de componentes que vão desde dispositivos até metadados sobre os dispositivos, é fácil se perder entre as possibilidades. Mas não é impossível se você tiver o guia certo para ajudá-lo a navegar por todas as complexidades. Este livro prático mostra aos desenvolvedores, arquitetos e gerentes de TI como criar soluções de IoT no Azure. O Livro apresenta uma visão abrangente do cenário da IoT. Você aprenderá sobre dispositivos, gerenciamento de dispositivos em escala e as ferramentas que o Azure fornece para a construção de sistemas distribuídos globalmente. Você também explorará maneiras de organizar dados esc...
Software Architecture for Big Data and the Cloud is designed to be a single resource that brings together research on how software architectures can solve the challenges imposed by building big data software systems. The challenges of big data on the software architecture can relate to scale, security, integrity, performance, concurrency, parallelism, and dependability, amongst others. Big data handling requires rethinking architectural solutions to meet functional and non-functional requirements related to volume, variety and velocity. The book's editors have varied and complementary backgrounds in requirements and architecture, specifically in software architectures for cloud and big data,...
Python's simplicity lets you become productive quickly, but often this means you aren't using everything it has to offer. With the updated edition of this hands-on guide, you'll learn how to write effective, modern Python 3 code by leveraging its best ideas. Don't waste time bending Python to fit patterns you learned in other languages. Discover and apply idiomatic Python 3 features beyond your past experience. Author Luciano Ramalho guides you through Python's core language features and libraries and teaches you how to make your code shorter, faster, and more readable.
True stories from Arad collected, translated and published by Gabriel Roman. The first railway in Transylvania; main line Arad - Alba Iulia and secondary line Simeria - Petrosani, Timisoara and Arad at the end of the 19th century. The city of Arad in the interwar period; the metamorphosis of Arad, Excerpts from the history of the franciscan church in Arad fortress. A brief history of Arad Central Railway Station, Short history of Arad Administrative Palace - Arad City Hall, A history of the Arad Cultural Palace (1913-1948)
Understanding Java from the JVM up gives you a solid foundation to grow your expertise and take on advanced techniques for performance, concurrency, containerization, and more. In The Well-Grounded Java Developer, Second Edition you will learn: The new Java module system and why you should use it Bytecode for the JVM, including operations and classloading Performance tuning the JVM Working with Java’s built-in concurrency and expanded options Programming in Kotlin and Clojure on the JVM Maximizing the benefits from your build/CI tooling with Maven and Gradle Running the JVM in containers Planning for future JVM releases The Well-Grounded Java Developer, Second Edition introduces both the m...
Enter the terrifying and unpredictable comic series based on one of the most hotly-anticipated games of 2017! Little Nightmares game follows Six, a young girl in a yellow raincoat, as she explores the horrifying world of The Maw, looking for a way out! Comic written by Alex Paknadel (Arcadia, Assassin’s Creed) and Dan Watters (Limbo, Assassin’s Creed) and illustrated by Aaron Alexovich (Invader Zim, Serenity Rose).
Effective Data Science Infrastructure teaches you to build data pipelines and project workflows that will supercharge data scientists and their projects. Based on state-of-the-art tools and concepts that power data operations of Netflix, this book introduces a customizable cloud-based approach to model development and MLOps that you can easily adapt to your company's specific needs. As you roll out these practical processes, your teams will produce better and faster results when applying data science and machine learning to a wide array of business problems.