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Practical Data Analysis

You're reading from   Practical Data Analysis Pandas, MongoDB, Apache Spark, and more

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Product type Paperback
Published in Sep 2016
Publisher
ISBN-13 9781785289712
Length 338 pages
Edition 2nd Edition
Languages
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Authors (2):
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Hector Cuesta Hector Cuesta
Author Profile Icon Hector Cuesta
Hector Cuesta
Dr. Sampath Kumar Dr. Sampath Kumar
Author Profile Icon Dr. Sampath Kumar
Dr. Sampath Kumar
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Toc

Table of Contents (16) Chapters Close

Preface 1. Getting Started 2. Preprocessing Data FREE CHAPTER 3. Getting to Grips with Visualization 4. Text Classification 5. Similarity-Based Image Retrieval 6. Simulation of Stock Prices 7. Predicting Gold Prices 8. Working with Support Vector Machines 9. Modeling Infectious Diseases with Cellular Automata 10. Working with Social Graphs 11. Working with Twitter Data 12. Data Processing and Aggregation with MongoDB 13. Working with MapReduce 14. Online Data Analysis with Jupyter and Wakari 15. Understanding Data Processing using Apache Spark

Getting started with MongoDB

MongoDB is a very popular document-oriented NoSQL database. It provides a high performance engine for storage and query retrieval. In a document-oriented database, we store the data into the collections of documents; in this case, it is JSON-like documents called BSON (Binary JSON), which provide us with a dynamic schema data structure. MongoDB implements functionalities such as ad hoc queries, replication, load balancing, Aggregation, and Map-Reduce. MongoDB is perfect for an operational database. However, its capabilities as a transactional data source are limited. We can see in the following image the similarities between the structures of a relational database (RDBMS) and MongoDB. We may find more information about MongoDB from its official website:

http://www.mongodb.org/

Getting started with MongoDB

Tip

For a complete reference about SQL databases, refer to this URL:

http://www.w3schools.com/sql/

From the preceding image, we can see that the internal structure of MongoDB is very...

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