Book Image

Testing Practitioner Handbook

By : Renu Rajani
Book Image

Testing Practitioner Handbook

By: Renu Rajani

Overview of this book

The book is based on the author`s experience in leading and transforming large test engagements and architecting solutions for customer testing requirements/bids/problem areas. It targets the testing practitioner population and provides them with a single go-to place to find perspectives, practices, trends, tools, and solutions to test applications as they face the evolving digital world. This book is divided into five parts where each part explores different aspects of testing in the real world. The first module explains the various testing engagement models. You will then learn how to efficiently test code in different life cycles. The book discusses the different aspects of Quality Analysis consideration while testing social media, mobile, analytics, and the Cloud. In the last module, you will learn about futuristic technologies to test software. By the end of the book, you will understand the latest business and IT trends in digital transformation and learn the best practices to adopt for business assurance.
Table of Contents (56 chapters)
Testing Practitioner Handbook
Credits
About the Author
Acknowledgement
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Index

Conclusion


What has changed for analytics testing in SMAC world?

To address the testing for big data, one needs to understand the system and prepopulate data in the system. Testers need to create installations to be able to carry out real-time tests.

There are not many testing tools for big data; the testers are learning basic components of big data to be able to use big data design and development tools (the same as developers) to be able to test big data. Tools such as query surge can help test up to 100% data quickly.

Experience in testing EDW applications has helped shorten the learning curve for testers testing big data as they apply the knowledge of extract, transform, and load from DWH to the Hadoop HDFS.