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Mastering Hadoop 3

You're reading from  Mastering Hadoop 3

Product type Book
Published in Feb 2019
Publisher Packt
ISBN-13 9781788620444
Pages 544 pages
Edition 1st Edition
Languages
Authors (2):
Chanchal Singh Chanchal Singh
Profile icon Chanchal Singh
Manish Kumar Manish Kumar
Profile icon Manish Kumar
View More author details
Toc

Table of Contents (23) Chapters close

Title Page
Dedication
About Packt
Foreword
Contributors
Preface
1. Journey to Hadoop 3 2. Deep Dive into the Hadoop Distributed File System 3. YARN Resource Management in Hadoop 4. Internals of MapReduce 5. SQL on Hadoop 6. Real-Time Processing Engines 7. Widely Used Hadoop Ecosystem Components 8. Designing Applications in Hadoop 9. Real-Time Stream Processing in Hadoop 10. Machine Learning in Hadoop 11. Hadoop in the Cloud 12. Hadoop Cluster Profiling 13. Who Can Do What in Hadoop 14. Network and Data Security 15. Monitoring Hadoop 1. Other Books You May Enjoy Index

Streaming design considerations


Streaming is always an important pillar for large-scale organizations. More and more organizations rely on a massive data pool, and they have a need for faster actionable insights. You should understand the long-lasting profitability impact of timely data and appropriate actions based on such timely insights into data. In addition to in-time activities, streaming opens up channels to capture massive, unbounded data from various business groups throughout an organization. This section focuses on the factors that should be taken into account when designing a streaming application. The end results of such designs are driven by the business objectives of the organization.

Latency

The processing of incoming data from several sources and the production of an immediate result is one of the fundamental features of any streaming application. The initial considerations for the desired feature are latency and throughput. In other words, latency and throughput are measured...

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