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Spark Cookbook

You're reading from  Spark Cookbook

Product type Book
Published in Jul 2015
Publisher
ISBN-13 9781783987061
Pages 226 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Rishi Yadav Rishi Yadav
Profile icon Rishi Yadav
LinkedIn
Rishi Yadav has 19 years of experience in designing and developing enterprise applications. He is an open source software expert and advises American companies on big data and public cloud trends. Rishi was honored as one of Silicon Valley's 40 under 40 in 2014. He earned his bachelor's degree from the prestigious Indian Institute of Technology, Delhi, in 1998. About 12 years ago, Rishi started InfoObjects, a company that helps data-driven businesses gain new insights into data. InfoObjects combines the power of open source and big data to solve business challenges for its clients and has a special focus on Apache Spark. The company has been on the Inc. 5000 list of the fastest growing companies for 6 years in a row. InfoObjects has also been named the best place to work in the Bay Area in 2014 and 2015. Rishi is an open source contributor and active blogger. This book is dedicated to my parents, Ganesh and Bhagwati Yadav; I would not be where I am without their unconditional support, trust, and providing me the freedom to choose a path of my own. Special thanks go to my life partner, Anjali, for providing immense support and putting up with my long, arduous hours (yet again).Our 9-year-old son, Vedant, and niece, Kashmira, were the unrelenting force behind keeping me and the book on track. Big thanks to InfoObjects' CTO and my business partner, Sudhir Jangir, for providing valuable feedback and also contributing with recipes on enterprise security, a topic he is passionate about; to our SVP, Bart Hickenlooper, for taking the charge in leading the company to the next level; to Tanmoy Chowdhury and Neeraj Gupta for their valuable advice; to Yogesh Chandani, Animesh Chauhan, and Katie Nelson for running operations skillfully so that I could focus on this book; and to our internal review team (especially Rakesh Chandran) for ironing out the kinks. I would also like to thank Marcel Izumi for, as always, providing creative visuals. I cannot miss thanking our dog, Sparky, for giving me company on my long nights out. Last but not least, special thanks to our valuable clients, partners, and employees, who have made InfoObjects the best place to work at and, needless to say, an immensely successful organization.
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Table of Contents (19) Chapters

Spark Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Getting Started with Apache Spark 2. Developing Applications with Spark 3. External Data Sources 4. Spark SQL 5. Spark Streaming 6. Getting Started with Machine Learning Using MLlib 7. Supervised Learning with MLlib – Regression 8. Supervised Learning with MLlib – Classification 9. Unsupervised Learning with MLlib 10. Recommender Systems 11. Graph Processing Using GraphX 12. Optimizations and Performance Tuning Index

About the Reviewers

Thomas W. Dinsmore is an independent consultant, offering product advisory services to analytic software vendors. To this role, he brings 30 years of experience, delivering analytics solutions to enterprises around the world. He uniquely combines hands-on analytics experience with the ability to lead analytic projects and interpret results.

Thomas' previous services include roles with SAS, IBM, The Boston Consulting Group, PricewaterhouseCoopers, and Oliver Wyman.

Thomas coauthored Modern Analytics Methodologies and Advanced Analytics Methodologies, published in 2014 by Pearson FT Press, and is under contract for a forthcoming book on business analytics from Apress. He publishes The Big Analytics Blog at www.thomaswdinsmore.com.

I would like to thank the entire editorial and production team at Packt Publishing, who work tirelessly to bring out quality books to the public.

Cheng Lian is a Chinese software engineer and Apache Spark committer from Databricks. His major technical interests include big data analytics, distributed systems, and functional programming languages.

Cheng is also the translator of the Chinese edition of Erlang and OTP in Action and Concurrent Programming in Erlang (Part I).

I would like to thank Yi Tian from AsiaInfo for helping me review some parts of Chapter 6, Getting Started with Machine Learning Using MLlib.

Amir Sedighi is an experienced software engineer, a keen learner, and a creative problem solver. His experience spans a wide range of software development areas, including cross-platform development, big data processing and data streaming, information retrieval, and machine learning. He is a big data lecturer and expert, working in Iran. He holds a bachelor's and master's degree in software engineering. Amir is currently the CEO of Rayanesh Dadegan Ekbatan, the company he cofounded in 2013 after several years of designing and implementing distributed big data and data streaming solutions for private sector companies.

I would like to thank the entire team at Packt Publishing, who work hard to bring awesomeness to the books and the readers' professional life.

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Authors (1)

Profile icon Rishi Yadav
LinkedIn
Rishi Yadav has 19 years of experience in designing and developing enterprise applications. He is an open source software expert and advises American companies on big data and public cloud trends. Rishi was honored as one of Silicon Valley's 40 under 40 in 2014. He earned his bachelor's degree from the prestigious Indian Institute of Technology, Delhi, in 1998. About 12 years ago, Rishi started InfoObjects, a company that helps data-driven businesses gain new insights into data. InfoObjects combines the power of open source and big data to solve business challenges for its clients and has a special focus on Apache Spark. The company has been on the Inc. 5000 list of the fastest growing companies for 6 years in a row. InfoObjects has also been named the best place to work in the Bay Area in 2014 and 2015. Rishi is an open source contributor and active blogger. This book is dedicated to my parents, Ganesh and Bhagwati Yadav; I would not be where I am without their unconditional support, trust, and providing me the freedom to choose a path of my own. Special thanks go to my life partner, Anjali, for providing immense support and putting up with my long, arduous hours (yet again).Our 9-year-old son, Vedant, and niece, Kashmira, were the unrelenting force behind keeping me and the book on track. Big thanks to InfoObjects' CTO and my business partner, Sudhir Jangir, for providing valuable feedback and also contributing with recipes on enterprise security, a topic he is passionate about; to our SVP, Bart Hickenlooper, for taking the charge in leading the company to the next level; to Tanmoy Chowdhury and Neeraj Gupta for their valuable advice; to Yogesh Chandani, Animesh Chauhan, and Katie Nelson for running operations skillfully so that I could focus on this book; and to our internal review team (especially Rakesh Chandran) for ironing out the kinks. I would also like to thank Marcel Izumi for, as always, providing creative visuals. I cannot miss thanking our dog, Sparky, for giving me company on my long nights out. Last but not least, special thanks to our valuable clients, partners, and employees, who have made InfoObjects the best place to work at and, needless to say, an immensely successful organization.
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