Book Image

Scalable Data Architecture with Java

By : Sinchan Banerjee
Book Image

Scalable Data Architecture with Java

By: Sinchan Banerjee

Overview of this book

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. You’ll 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, you’ll understand how to architect a batch and real-time data processing pipeline. You’ll 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, you’ll focus on how to evaluate and recommend an architecture by developing performance benchmarks, estimations, and various decision metrics. By the end of this book, you’ll 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.
Table of Contents (19 chapters)
1
Section 1 – Foundation of Data Systems
5
Section 2 – Building Data Processing Pipelines
11
Section 3 – Enabling Data as a Service
14
Section 4 – Choosing Suitable Data Architecture

Databases and their types

In this section, we will cover the various types of databases that are commonly used to create modern data engineering solutions. We will also try to explore the possible scenario when a specific type of database will be used.

A database is a systematic collection of data or information that’s stored in such a way that it can easily be accessed, retrieved, and managed. In modern-day data engineering, primarily, databases can be broadly classified into two categories, as follows:

  • Relational database: This is a kind of database known for storing structured datasets. Each type of dataset is related to another, and relational databases provide an easy way to establish a relationship between different kinds of datasets. We will discuss relational databases in detail later in this chapter.
  • NoSQL databases or non-relational databases: NoSQL databases are non-relational databases, where data can be stored in some form other than a tabular format...