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

Practical data governance using DataHub and NiFi

In this section, we will discuss a tool called DataHub and how different data stakeholders and stewards can make use of it to enable better data governance. But first, we will understand the use case and what we are trying to achieve.

In this section, we will build a data governance capability around a data ingestion pipeline. This data ingestion pipeline will fetch any new objects from an S3 location, enrich them, and store the data in a MySQL table. In this particular use case, we are getting telephone recharge or top-up events in an S3 bucket from various sources such as mobile or the web. We are enriching this data and storing it in a MySQL database using an Apache NiFi pipeline.

Apache NiFi is a powerful and reliable drag-and-drop visual tool that allows you to easily process and distribute data. It creates directed graphs to create a workflow or a data pipeline. It consists of the following high-level components so that...