Description: Scalable Data Architecture with Java by Sinchan Banerjee This is a must-have book for developers and architects who want to understand the core skills that a Java professional should have to become a data architect in order to create effective architectures. Youll be able to pick up industry best practices if youre an aspiring Java data architect who wants to easily achieve their goal. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description Orchestrate data architecting solutions using Java and related technologies to evaluate, recommend and present the most suitable solution to leadership and clientsKey FeaturesLearn how to adapt to the ever-evolving data architecture technology landscapeUnderstand how to choose the best suited technology, platform, and architecture to realize effective business valueImplement effective data security and governance principlesBook DescriptionJava architectural patterns and tools help architects to build reliable, scalable, and secure data engineering solutions that collect, manipulate, and publish data.This book will help you make the most of the architecting data solutions available with clear and actionable advice from an expert.Youll start with an overview of data architecture, exploring responsibilities of a Java data architect, and learning about various data formats, data storage, databases, and data application platforms as well as how to choose them. Next, youll understand how to architect a batch and real-time data processing pipeline. Youll also get to grips with the various Java data processing patterns, before progressing to data security and governance. The later chapters will show you how to publish Data as a Service and how you can architect it. Finally, youll focus on how to evaluate and recommend an architecture by developing performance benchmarks, estimations, and various decision metrics.By the end of this book, youll be able to successfully orchestrate data architecture solutions using Java and related technologies as well as to evaluate and present the most suitable solution to your clients.What you will learnAnalyze and use the best data architecture patterns for problemsUnderstand when and how to choose Java tools for a data architectureBuild batch and real-time data engineering solutions using JavaDiscover how to apply security and governance to a solutionMeasure performance, publish benchmarks, and optimize solutionsEvaluate, choose, and present the best architectural alternativesUnderstand how to publish Data as a Service using GraphQL and a REST APIWho this book is forData architects, aspiring data architects, Java developers and anyone who wants to develop or optimize scalable data architecture solutions using Java will find this book useful. A basic understanding of data architecture and Java programming is required to get the best from this book. Author Biography Sinchan Banerjee is a Principal Data architect who has vast experience in architecting, building and leading multiple data engineering solutions in healthcare and finance domain. His expertise lies in architecting, designing, developing, and delivering high volume fast paced data engineering solutions using cutting-edge Big Data and Streaming technologies over cloud platforms like AWS, Azure and OpenShift, and on-premises. He has rich experience in designing, building and deploying microservices using SOAP, REST and GraphQL over Kubernetes and Docker in the cloud platforms as well as in on-premises. He has also considerable experience in creating proposal, present and enables to win multimillion dollar business deals for his employer. He is currently a Principal Data architect at UST Inc working for their client ElevanceHealth (Formerly Anthem) and leading Anthems digitalization journey into cloud. Prior to this, he has worked for multiple organizations as a Data architect at American Express, Data-core Systems Inc., UnitedHealth Group and as data engineer at Impetus and Hewlett-Packard. He has a bachelors degree in Computer Science and Engineering from SRM University and is certified in Machine learning with Big Data Analytics from University of California. He is also a certified AWS professional and a certified Java programmer. He is the lead inventor of a patent (on Storage Capacity Forecasting using Predictive Analysis and has co-authored multiple international publications. He is the recipient of multiple awards and accolades throughout his career from multiple organizations like Hewlett-Packard, UnitedHealth Group and UST, for his technical contribution, innovation, and leadership skills. He currently resides in the United States along with his family and pets. Table of Contents Table of ContentsBasics of Modern Data ArchitectureData Storage and DatabasesIdentifying the Right Data PlatformETL Data Load - A Batch-Based Solution to Ingest Data in a Data WarehouseArchitecting a Batch Processing PipelineArchitecting a Real-Time Processing PipelineCore Architectural Design PatternsEnabling Data Security and GovernanceExposing MongoDB Data as a ServiceFederated and Scalable DaaS with GraphQLMeasuring Performance and Benchmarking Your ApplicationsEvaluating, Recommending, and Presenting Your Solutions Details ISBN1801073082 Author Sinchan Banerjee Short Title Scalable Data Architecture with Java Pages 382 Language English Year 2022 ISBN-10 1801073082 ISBN-13 9781801073080 Format Paperback Publisher Packt Publishing Limited Imprint Packt Publishing Limited Subtitle Build efficient enterprise-grade data architecting solutions using Java Place of Publication Birmingham Country of Publication United Kingdom Publication Date 2022-09-23 AU Release Date 2022-09-23 NZ Release Date 2022-09-23 UK Release Date 2022-09-23 DEWEY 005.73 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. 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Book Title: Scalable Data Architecture with Java