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Learning Spark SQL

You're reading from   Learning Spark SQL Architect streaming analytics and machine learning solutions

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Product type Paperback
Published in Sep 2017
Publisher Packt
ISBN-13 9781785888359
Length 452 pages
Edition 1st Edition
Languages
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Author (1):
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Aurobindo Sarkar Aurobindo Sarkar
Author Profile Icon Aurobindo Sarkar
Aurobindo Sarkar
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Table of Contents (13) Chapters Close

Preface 1. Getting Started with Spark SQL FREE CHAPTER 2. Using Spark SQL for Processing Structured and Semistructured Data 3. Using Spark SQL for Data Exploration 4. Using Spark SQL for Data Munging 5. Using Spark SQL in Streaming Applications 6. Using Spark SQL in Machine Learning Applications 7. Using Spark SQL in Graph Applications 8. Using Spark SQL with SparkR 9. Developing Applications with Spark SQL 10. Using Spark SQL in Deep Learning Applications 11. Tuning Spark SQL Components for Performance 12. Spark SQL in Large-Scale Application Architectures

Introducing machine learning applications

Machine learning, predictive analytics, and related data science topics are becoming increasingly popular for solving real-world problems across varied business domains.

Today, machine learning applications are driving mission-critical business decision-making in many organizations. These applications include recommendation engines, targeted advertising, speech recognition, fraud detection, image recognition and categorization, and so on.

In the next section, we will introduce the key components of the Spark ML pipeline API.

Understanding Spark ML pipelines and their components

The machine learning pipeline API was introduced in Apache Spark 1.2. Spark MLlib provides an API for developers...

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