Advanced Analytics with Spark
Patterns for Learning from Data at Scale
(Sprache: Englisch)
Apache Spark is emerging as one of the most popular technologies for performing analytics on huge datasets, and this practical guide shows you how to harness Spark's power for approaching a variety of analytics problems. You'll learn how to apply common...
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Apache Spark is emerging as one of the most popular technologies for performing analytics on huge datasets, and this practical guide shows you how to harness Spark's power for approaching a variety of analytics problems. You'll learn how to apply common techniques, such as classification, clustering, collaborative filtering, anomaly detection, dimensionality reduction, and Monte Carlo simulation to fields such as genomics, security, and finance.Advanced Analytics with Spark supplies complete implementations that analyze large public datasets, and acts as an introduction to using these techniques and other best practices in Spark programming.
Become familiar with the Spark programming model and ecosystem
Learn general approaches in data science
Discover which machine learning tools make sense for particular problems
Acquire code from GitHub that can be adapted to many uses
This book will interest both data science professionals and aspiring data scientists, students studying learning techniques for analyzing large datasets, and scientists interested in using Spark as a research tool.
Autoren-Porträt von Sandy Ryza, Uri Laserson, Sean Owen, Josh Wills
Sean Owen is Director of Data Science for EMEA at Cloudera. He has been a significant contributor to the Apache Mahout machine learning project since 2009, and authored its “Taste” recommender framework. He created the Oryx (formerly Myrrix) project for realtime large scale learning on Hadoop, built on lambda architecture principles, and has contributed to Spark and Spark’s MLlib project.Josh Wills is Cloudera's Senior Director of Data Science, working with customers and engineers to develop Hadoop based solutions across a wide range of industries. He is the founder and VP of the Apache Crunch project for creating optimized MapReduce and Spark pipelines in Java.Prior to joining Cloudera, Josh worked at Google, where he worked on the ad auction system and then led the development of the analytics infrastructure used in Google+.
Bibliographische Angaben
- Autoren: Sandy Ryza , Uri Laserson , Sean Owen , Josh Wills
- 2015, 276 Seiten, mit Abbildungen, Maße: 17,9 x 23,3 cm, Kartoniert (TB), Englisch
- By Ryza, Sandy; Laserson, Uri; Owen, Sean; Wills, Josh
- Verlag: O'Reilly Media
- ISBN-10: 1491912766
- ISBN-13: 9781491912768
Sprache:
Englisch
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