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Pentaho Analytics for MongoDB Cookbook

You're reading from   Pentaho Analytics for MongoDB Cookbook Over 50 recipes to learn how to use Pentaho Analytics and MongoDB to create powerful analysis and reporting solutions

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Product type Paperback
Published in Dec 2015
Publisher
ISBN-13 9781783553273
Length 218 pages
Edition 1st Edition
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Authors (2):
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Harris Ward Harris Ward
Author Profile Icon Harris Ward
Harris Ward
Joel Andre Latino Joel Andre Latino
Author Profile Icon Joel Andre Latino
Joel Andre Latino
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Table of Contents (10) Chapters Close

Preface 1. PDI and MongoDB FREE CHAPTER 2. The Thin Kettle JDBC Driver 3. Pentaho Instaview 4. A MongoDB OLAP Schema 5. Pentaho Reporting 6. The Pentaho BI Server 7. Pentaho Dashboards 8. Pentaho Community Contributions Index

Introduction

Migrating data from an RDBMS to a NoSQL database, such as MongoDB, isn't an easy task, especially when your RBDMS has a lot of tables. It can be a time consuming issue, and in most cases, using a manual process is like developing a bespoke solution.

Pentaho Data Integration (or PDI, also known as Kettle) is an Extract, Transform, and Load (ETL) tool that can be used as a solution for this problem. PDI provides a graphical drag-and-drop development environment called Spoon. Primarily, PDI is used to create data warehouses. However, it can also be used for other scenarios, such as migrating data between two databases, exporting data to files with different formats (flat, CSV, JSON, XML, and so on), loading data into databases from many different types of source data, data cleaning, integrating applications, and so on.

The following recipes will focus on the main operations that you need to know to work with PDI and MongoDB.

You have been reading a chapter from
Pentaho Analytics for MongoDB Cookbook
Published in: Dec 2015
Publisher:
ISBN-13: 9781783553273
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