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

Enabling Data Security and Governance

In the preceding chapters, we learned how to evaluate requirements and analyze and apply various architectural patterns to solve both real-time and batch-based problems. We learned how to choose the optimal technical stack and develop, deploy, and execute the proposed solution. We also discussed various popular architectural patterns for data ingestion. However, any discussion about data architecture is incomplete without mentioning data governance and data security. In this chapter, we will focus on understanding and applying data governance and security in the data layer.

In this chapter, we will first discuss what data governance is, and why it is so important. We will also briefly discuss a few open source data governance tools that are available on the market. Then, we will practically demonstrate a data governance implementation by adding a data governance layer to a data ingestion pipeline. The data ingestion pipeline ID will be developed...