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Pro Hadoop Data Analytics

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Cover of 'Pro Hadoop Data Analytics'

Table of Contents

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    Book Overview
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    Chapter 1 Overview: Building Data Analytic Systems with Hadoop
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    Chapter 2 A Scala and Python Refresher
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    Chapter 3 Standard Toolkits for Hadoop and Analytics
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    Chapter 4 Relational, NoSQL, and Graph Databases
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    Chapter 5 Data Pipelines and How to Construct Them
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    Chapter 6 Advanced Search Techniques with Hadoop, Lucene, and Solr
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    Chapter 7 An Overview of Analytical Techniques and Algorithms
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    Chapter 8 Rule Engines, System Control, and System Orchestration
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    Chapter 9 Putting It All Together: Designing a Complete Analytical System
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    Chapter 10 Data Visualizers: Seeing and Interacting with the Analysis
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    Chapter 11 A Case Study in Bioinformatics: Analyzing Microscope Slide Data
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    Chapter 12 A Bayesian Analysis Component: Identifying Credit Card Fraud
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    Chapter 13 Searching for Oil: Geographical Data Analysis with Apache Mahout
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    Chapter 14 “Image As Big Data” Systems: Some Case Studies
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    Chapter 15 Building a General Purpose Data Pipeline
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    Chapter 16 Conclusions and the Future of Big Data Analysis
Attention for Chapter 2: A Scala and Python Refresher
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Chapter title
A Scala and Python Refresher
Chapter number 2
Book title
Pro Hadoop Data Analytics
Published by
Apress, December 2016
DOI 10.1007/978-1-4842-1910-2_2
Book ISBNs
978-1-4842-1909-6, 978-1-4842-1910-2
Authors

Kerry Koitzsch

View on publisher site

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