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 briefly how to understand a data processing architecture. First, we explored how to interact with a distributed file system. Then, we provided installation instructions for a Cloudera VM and how to get started in a data environment. Finally, we described the main features of Apache Spark and ran a practical example of how to implement a word count algorithm.

Apache Spark is highly recommended for all the data community, because it provides a robust and fast data processing tool. It also provides a library for Sql-like querying, graph processing, and machine learning algorithms.