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Mastering Apache Storm

You're reading from  Mastering Apache Storm

Product type Book
Published in Aug 2017
Publisher
ISBN-13 9781787125636
Pages 284 pages
Edition 1st Edition
Languages
Author (1):
Ankit Jain Ankit Jain
Profile icon Ankit Jain

Table of Contents (19) Chapters

Title Page
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
1. Real-Time Processing and Storm Introduction 2. Storm Deployment, Topology Development, and Topology Options 3. Storm Parallelism and Data Partitioning 4. Trident Introduction 5. Trident Topology and Uses 6. Storm Scheduler 7. Monitoring of Storm Cluster 8. Integration of Storm and Kafka 9. Storm and Hadoop Integration 10. Storm Integration with Redis, Elasticsearch, and HBase 11. Apache Log Processing with Storm 12. Twitter Tweet Collection and Machine Learning

About the Reviewers

Doug Ortiz is a senior big data artechitect at ByteCubed who has been architecting, developing and integrating enterprise solutions throughout his whole career. Organizations that leverage high skillset have been able to rediscover and reuse their underutilized data via existing and emerging technologies such as: Microsoft BI Stack, Hadoop, NoSQL Databases, SharePoint, Hadoop, related toolsets and technologies.

He is the founder of Illustris, LLC and can be reached at dougortiz@illustris.org.

Interesting aspects of his profession:

  • He has experience integrating multiple platforms and products
  • He has big data, data science certifications, R and Python certifications
  • He helps organizations gain a deeper understanding of, and value, their current investments in data and existing resources, turning them into useful sources of information
  • He has improved, salvaged, and architected projects by utilizing unique and innovative techniques

His hobbies are yoga and scuba diving.

 

 

 

Oleg Okun is a machine learning expert and the author/editor of four books, numerous journal articles, and conference papers. His career spans more than a quarter of a century. He was employed in both academia and industry in his mother country, Belarus, and abroad (Finland, Sweden, and Germany). His work experience includes document image analysis, fingerprint biometrics, bioinformatics, online/offline marketing analytics, credit scoring analytics, and text analytics.

He is interested in all aspects of distributed machine learning and the Internet of Things. Oleg currently lives and works in Hamburg, Germany.

I would like to express my deepest gratitude to my parents for everything that they have done for me.

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