9781801072083_

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.
Learn to select the most suitable option of technology, platform and architecture to realize effective business value.
Learn to 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.

Developers working with JAVA and related technologies will be able to put their knowledge to work with this practical guide to Architecting Data Engineering solutions. The book provides a hands-on approach to implementation and associated methodologies that will have you up-and-running in no time.

You will begin by with an overview of data architecture, exploring responsibilities of a Java data architect.

Youll learn about various data formats, data storage, databases and data application platforms and how to choose them. Then youll learn how to architect a batch and real-time data processing pipeline. Later, you will understand the various JAVA Data Processing patterns. You will learn about Data security and governance. Next, you will learn how to publish Data as a Service and how you can architect it. Get to grips with how to evaluate and recommend an architecture by developing performance benchmarks, estimations and various decision metrics.

By the end of this book, you will be able to successfully orchestrate data architecture solutions using JAVA and related technologies, evaluate, and present the most suitable solution to your clients.

What you will learn

Learn to analyze, classify and apply correct data architectural solution patterns to problem.
Learn the Java related Data architecting tools, when and how to use them efficiently.
Learn to build batch processing, real time processing and Data-as-a-Service proof of concepts using JAVA stack of technologies.
Learn how to apply security and governance to a solution.
Learn how to measure, evaluate, recommend and present the most suitable architectural solution.
Learn core design patterns used in GraphQL and when they should be used in production.

Who This Book Is For

Data architects, aspiring data architects, java developers and anyone who wants to develop, optimize high performance and scalable data architecture solutions using JAVA will find this book useful. Basic understanding of data architecture and Java programming is required to get the best from this book.

Basics of Modern Data Architecture
Data Storage and Databases
Identifying the Right Data Platform
ETL Data Load: A batchbased solution to Ingest Data in Data Warehouse
Architecting a Batch Processing Pipeline
Architecting a Real-time Processing Pipeline
Core Architectural Design Patterns
Enabling Data Security and Governance
Exposing MongoDB Data as a Service
Federated and Scalable DaaS with GraphQL
Measuring Performance and Benchmarking your Applications
Evaluate, Recommend, and Present Your Solutions

(*_*)9781801072083_

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.

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Key Features

Book Description

What you will learn

Who This Book Is For

Table of Contents

Scalable Data Architecture with Java

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