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

Summary


In this chapter, we explored the basic concepts of the MapReduce programming model and how to implement common activities such as grouping, aggregation, counting, and summing in MongoDB.

MapReduce is a powerful tool for log analysis and data processing. In this chapter, we learned how to implement easy but powerful aggregation capabilities into Python using PyMongo and Jupyter.

In the next chapter, we will explore an online Python tool for data analysis and development called Wakari, and a data analysis library named Pandas.