Hands-On Data Analysis with Pandas - Molin, Stefanie

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Résumé :
Architect enterprise-grade, Microservice-based solutions using Microsoft Azure Service Fabric. Key Features Explore architectural patterns for building modern day Microservice-based systems Learn about Microsoft Service Fabric as a platform to host distributed Microservices Discover multiple options for hosting Microservices on heterogeneous, cross-platform environments Learn to configure Azure Service Fabric clusters for enterprise-grade service deployments Book Description Microsoft Azure is rapidly evolving and is widely used as a platform on which you can build Microservices that can be deployed on-premise and on-cloud heterogeneous environments through Microsoft Azure Service Fabric. This book will help you understand the concepts of Microservice application architecture and build highly maintainable and scalable enterprise-grade applications using the various services in Microsoft Azure Service Fabric. We will begin by understanding the intricacies of the Microservices architecture and its advantages over the monolithic architecture and Service Oriented Architecture (SOA) principles. We will present various scenarios where Microservices should be used and walk you through the architectures of Microservice-based applications. Next, you will take an in-depth look at Microsoft Azure Service Fabric, which is the best-in-class platform for building Microservices. You will explore how to develop and deploy sample applications on Microsoft Azure Service Fabric to gain a thorough understanding of it. Building Microservice-based application is complicated. Therefore, we will take you through several design patterns that solve the various challenges associated with realizing the Microservices architecture in enterprise applications. Each pattern will be clearly illustrated with examples that you can keep referring to when designing applications. Finally, you will be introduced to advanced topics such as Serverless computing and DevOps using Service Fabric, to help you undertake your next venture with confidence. What You Will Learn Understand the basics of Microservices and how Microsoft Azure fits into the equation Master Azure Service Fabric architecture and services Explore Azure Service Fabric application programming models Comprehensive study of various architecture patterns for building enterprise-grade Microservices Manage and deploy Microservices on Azure Service Fabric An insight into the future of Microservices with containers and serverless computing Who This Book Is For The book is aimed at IT architects, system administrators, and DevOps engineers who have a basic knowledge of the Microsoft Azure platform and are working on, or are curious about, the concepts of Microservices and Microservice architecture....

Biographie:
Namit Tanasseri is a certified Microsoft Cloud Solutions Architect with more than 11 years of work experience. He started his career as a Software Development Engineer with Microsoft Research and Development Center in 2005. During the first five years of his career, he had opportunities to work with major Microsoft product groups such as Microsoft Office and Windows. The experience working with the largest development teams within Microsoft helped him strengthen his knowledge of agile software development methodologies and processes. He also earned a patent award for a technology invention during this tenure. Namit joined Microsoft Services chasing his passion for delivering solutions on cloud technologies and for gaining better exposure to technology consulting. As a technology consultant with Microsoft, Namit worked with Microsoft Azure Services for four years. Namit was a worldwide subject matter expert in Microsoft Azure, and he actively contributed to the Microsoft cloud community, apart from delivering top quality solutions for Microsoft customers. Namit also led the Windows Azure community in Microsoft Services India. Namit currently serves as a Microsoft Cloud Solutions Architect from Sydney, Australia working on large and medium sized enterprise engagements.

Sommaire:
Stefanie Molin is a data scientist and software engineer at Bloomberg LP in NYC, tackling tough problems in information security, particularly revolving around anomaly detection, building tools for gathering data, and knowledge sharing. She has extensive experience in data science, designing anomaly detection solutions, and utilizing machine learning in both R and Python in the AdTech and FinTech industries. She holds a B.S. in operations research from Columbia University's Fu Foundation School of Engineering and Applied Science, with minors in economics, and entrepreneurship and innovation. In her free time, she enjoys traveling the world, inventing new recipes, and learning new languages spoken among both people and computers....