Book Image

Learning Apache Apex

By : Thomas Weise, Ananth Gundabattula, Munagala V. Ramanath, David Yan, Kenneth Knowles
Book Image

Learning Apache Apex

By: Thomas Weise, Ananth Gundabattula, Munagala V. Ramanath, David Yan, Kenneth Knowles

Overview of this book

Apache Apex is a next-generation stream processing framework designed to operate on data at large scale, with minimum latency, maximum reliability, and strict correctness guarantees. Half of the book consists of Apex applications, showing you key aspects of data processing pipelines such as connectors for sources and sinks, and common data transformations. The other half of the book is evenly split into explaining the Apex framework, and tuning, testing, and scaling Apex applications. Much of our economic world depends on growing streams of data, such as social media feeds, financial records, data from mobile devices, sensors and machines (the Internet of Things - IoT). The projects in the book show how to process such streams to gain valuable, timely, and actionable insights. Traditional use cases, such as ETL, that currently consume a significant chunk of data engineering resources are also covered. The final chapter shows you future possibilities emerging in the streaming space, and how Apache Apex can contribute to it.
Table of Contents (17 chapters)
Title Page
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Chapter 7. Example Project – Real-Time Ride Service Data Processing

In this chapter, we will discuss an example that demonstrates how Apache Apex can be used for processing real-time ride service data. We don't have live access to such data; however, a historical Yellow Cab trip data is freely available on the website of the New York City government, which we will use in this example to simulate real-time ride service data processing.

We will use some important concepts in stream processing and Apache Apex in this example, including event-time windowing, out-of-order processing, and streaming windows. In this chapter we'll cover following topics:

  • The goal
  • Datasource
  • The pipeline
  • Simulation of real-time  feed using historical data
  • Running the application