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Sinchan Banerjee - Scalable Data Architecture with Java: Build efficient enterprise-grade data architecting solutions using Java

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Sinchan Banerjee Scalable Data Architecture with Java: Build efficient enterprise-grade data architecting solutions using Java
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Orchestrate data architecting solutions using Java and related technologies to evaluate, recommend and present the most suitable solution to leadership and clients

Key Features
  • Learn how to adapt to the ever-evolving data architecture technology landscape
  • Understand how to choose the best suited technology, platform, and architecture to realize effective business value
  • Implement effective data security and governance principles
Book Description

Java 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 learn
  • Analyze and use the best data architecture patterns for problems
  • Understand when and how to choose Java tools for a data architecture
  • Build batch and real-time data engineering solutions using Java
  • Discover how to apply security and governance to a solution
  • Measure performance, publish benchmarks, and optimize solutions
  • Evaluate, choose, and present the best architectural alternatives
  • Understand how to publish Data as a Service using GraphQL and a REST API
Who this book is for

Data 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.

Table of Contents
  1. Basics of Modern Data Architecture
  2. Data Storage and Databases
  3. Identifying the Right Data Platform
  4. ETL Data Load - A Batch-Based Solution to Ingest Data in a Data Warehouse
  5. Architecting a Batch Processing Pipeline
  6. Architecting a Real-Time Processing Pipeline
  7. Core Architectural Design Patterns
  8. Enabling Data Security and Governance
  9. Exposing MongoDB Data as a Service
  10. Federated and Scalable DaaS with GraphQL
  11. Measuring Performance and Benchmarking Your Applications
  12. Evaluating, Recommending, and Presenting Your Solutions

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Scalable Data Architecture with Java Build efficient enterprise-grade data - photo 1
Scalable Data Architecture with Java

Build efficient enterprise-grade data architecting solutions using Java

Sinchan Banerjee

BIRMINGHAMMUMBAI Scalable Data Architecture with Java Copyright 2022 Packt - photo 2

BIRMINGHAMMUMBAI

Scalable Data Architecture with Java

Copyright 2022 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

Publishing Product Manager: Ali Abidi

Senior Editor: Nazia Shaikh

Content Development Editor: Manikandan Kurup

Technical Editor: Sweety Pagaria

Copy Editor: Safis Editing

Project Coordinator: Farheen Fathima

Proofreader: Safis Editing

Indexer: Rekha Nair

Production Designer: Shyam Sundar Korumilli

Marketing Coordinator: Abeer Dawe

First published: October 2022

Production reference: 1220922

Published by Packt Publishing Ltd.

Livery Place

35 Livery Street

Birmingham

B3 2PB, UK.

ISBN 978-1-80107-308-0

www.packt.com

Dedicated to Maa and Baba, to whom I am eternally thankful for the way they raised me to become the person I am today

Contributors
About the author

Sinchan Banerjee is a principal data architect at UST Inc. He works for their client Anthem to architect, build, and deliver scalable, robust data engineering solutions to solve their business problems. Prior to his journey with UST, he worked for various Fortune 500 organizations, such as Amex, Optum, Impetus, and HP, designing, architecting, and building robust data engineering solutions for very high volumes of data. He is the lead author of a patent on storage capacity forecasting and is the co-author of multiple international publications. He is also a certified AWS Professional and a certified Java programmer. He has also been a recipient of multiple awards and accolades for exceptional technical contribution, leadership, and innovation.

I would like to thank Packt publication for giving me the opportunity to write this book and share my knowledge. I am also grateful to the editorial and technical reviewer team for their valuable inputs and reviews which made the book a better read. Finally, I would like to thank my wife, who partnered this journey of book writing along with me and constantly inspired, supported, and encouraged me to write to the best of my abilities.

About the reviewers

Sourin Sarkar started his journey as a programmer almost 30 years ago. Currently, he is an architect in a top memory technology company. He works on various security solutions in the embedded security space. He has worked in various technology areas during his career and has been architecting technology solutions for the past 15 years while working with technology giants in the security, memory, storage, and data center domains. He is enthusiastic about security technology, various macro to nano embedded technology, automotive solutions, autonomous solutions, memory technology, robotics, green technology sectors, and various other technologies. He is active in the innovation space and has many issued and filed patents to his name.

I would like to thank my parents, teachers, friends, and highly respected mentors in my career for what I am today. Without them, it would not have been possible. I would like to thank Packt Publishing for giving me this opportunity to review a wonderful book and wish all the best to the author, while looking forward to working with Packt Publishing in the future.

Khushboo K is a big data leader with over a decade of IT experience. She has led and delivered several data engineering solutions for various clients in the US, UK, India, and New Zealand. After a stint with multiple multinational corporations, she started her own venture where she provides data engineering consultancy and training services.

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