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Java Data Analysis

You're reading from   Java Data Analysis Data mining, big data analysis, NoSQL, and data visualization

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Product type Paperback
Published in Sep 2017
Publisher Packt
ISBN-13 9781787285651
Length 412 pages
Edition 1st Edition
Languages
Concepts
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Author (1):
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John R. Hubbard John R. Hubbard
Author Profile Icon John R. Hubbard
John R. Hubbard
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Toc

Table of Contents (14) Chapters Close

Preface 1. Introduction to Data Analysis 2. Data Preprocessing FREE CHAPTER 3. Data Visualization 4. Statistics 5. Relational Databases 6. Regression Analysis 7. Classification Analysis 8. Cluster Analysis 9. Recommender Systems 10. NoSQL Databases 11. Big Data Analysis with Java A. Java Tools Index

Java development with MongoDB


To access a MongoDB database from a Java program, you must first download the mongo-java-driver JAR files. You can get them from here:

http://central.maven.org/maven2/org/mongodb/mongo-java-driver/

Choose a recent, stable version; like, 3.4.2. Download the two JAR files: mongo-java-driver-3.4.2.jar and mongo-java-driver-3.4.2-javadoc.jar.

The program in Listing 10-2 shows how to use Java to access a Mongo database, in this case our friends database:

Listing 10-2. Java program to print collection documents

At lines 18-20, we instantiate the three objects necessary to access our relatives collection: a MongoClient object, a MongoDatabase object, and a MongoCollection object. The rest of the program iterated through all the documents in that collection, numbering and printing them in alphabetical order.

Line 23 instantiates a specialized Iterable object that uses the find() method on the relatives collection, accessing its documents according to the ordering specified...

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