Book Image

Practical Data Analysis - Second Edition

By : Hector Cuesta, Dr. Sampath Kumar
Book Image

Practical Data Analysis - Second Edition

By: Hector Cuesta, Dr. Sampath Kumar

Overview of this book

Beyond buzzwords like Big Data or Data Science, there are a great opportunities to innovate in many businesses using data analysis to get data-driven products. Data analysis involves asking many questions about data in order to discover insights and generate value for a product or a service. This book explains the basic data algorithms without the theoretical jargon, and you’ll get hands-on turning data into insights using machine learning techniques. We will perform data-driven innovation processing for several types of data such as text, Images, social network graphs, documents, and time series, showing you how to implement large data processing with MongoDB and Apache Spark.
Table of Contents (21 chapters)
Practical Data Analysis - Second Edition
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface

Chapter 13. Working with MapReduce

MongoDB is a document-based database used to tackle a large amount of data by companies such as Forbes, Bit.ly, Foursquare, Craigslist, and so on. In Chapter 12, Data Processing and Aggregation with MongoDB, we learned how to perform the basic operations and aggregations with MongoDB. In this chapter, we will learn how MongoDB implements a MapReduce programming model using Jupyter and PyMongo.

In this chapter, we will cover the following topics:

  • An overview of MapReduce

  • Programming model

  • Using MapReduce with MongoDB

  • Filtering the input collection

  • Grouping and aggregation

  • The most common words in Tweets

Tip

In the following link, we can find a list of production deployments of MongoDB: https://www.mongodb.com/industries