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

Datasource


The historical Yellow Cab trip data can be downloaded from http://www.nyc.gov/html/tlc/html/about/trip_record_data.shtml. The data is present as CSV files with the following fields:

  • VendorID
  • Pickup Date Time
  • Dropoff Date Time
  • Passenger Count
  • Trip Distance
  • Pickup Longitude
  • Pickup Latitude
  • Rate Code ID
  • Store and Forward flag
  • Dropoff Longitude
  • Dropoff Latitude
  • Payment Type
  • Fare Amount
  • Extra Fee
  • MTA Tax
  • Improvement Surcharge
  • Tip Amount
  • Tolls Amount
  • Total Payment

For the purpose of this example and to keep it simple, we are only looking at the Pickup Date Time, Pickup Longitude, Pickup Latitude, and Total Payment.

Also, the trip data file is not sorted, and you may see lines that can be up to 30 days ahead of the next entry.

Note

You can find the code for this example by going to the examples/nyctaxi directory under the apex-malhar GitHub repository, at the following link: https://github.com/apache/apex-malhar/tree/master/examples/nyctaxi.