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Detalhes do produto Capa comum: Seja o primeiro a avaliar este item. Compartilhe seus pensamentos com outros clientes. I bought the book because I needed to transform data for work. The book is good from the standpoint that it provides many examples aimed at the beginner, but is not good as a technical reference. She does a great job of fulfilling the promise of the book's title - it is a great introduction and 'getting started' book for Pentaho Data Integration.

I have worked with PDI for the last few years, so I'm hardly a beginner, but I still learned useful techniques and tips from the book.


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The book starts with basic information about the tool and installation instructions, then, chapter by chapter, it introduces features and techniques that build upon each other. By the end of the book you'll know how to perform all the standard ETL operations using Pentaho Data Integration and then some. There are tutorials and exercises throughout the book that really you understand the tool and its features. Almost everything in the book applies just as well to PDI V4. I was one of the reviewers of the book during its writing so I might be a little biased - but I was not paid for that effort, nor am I being paid to review the finished book.

My opinion of it is the same either way. Pentaho Data Integration a. I started using PDI in and since then I really appreciated its usefulness and vast opportunities of use. Data are everywhere and in different sources excel sheets, database, text file, web services and so on and there are a lot of needs for them to be integrated, analyzed, modified and reused.

In my opinion an ETL tool is essential for everyone who works with data. Then, the book gives you a primer on databases and teaches you how to work with databases inside PDI. Not only that, you'll be given an introduction to data warehouse concepts and you will learn to load data in a data warehouse. After that, you will learn to implement simple and complex processes. Once you've learned all the basics, you will build a simple datamart that will serve to reinforce all the concepts learned through the book.

Book Details

She started working with Pentaho back in She spent all these years developing BI solutions, mainly as an ETL specialist, and working for different companies around the world. She has also authored other books on Pentaho, all of them published by Packt. Sign up to our emails for regular updates, bespoke offers, exclusive discounts and great free content.

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Pentaho Data Integration: Beginner's Guide - Livros na Amazon Brasil-

Pentaho Data Integration 4 Cookbook. Book Description Pentaho Data Integration a. Table of Contents Chapter 1: Getting Started with Pentaho Data Integration. Time for action — creating a hello world transformation. Getting Started with Transformations.

Pentaho 3.2 Data Integration: Beginner's Guide

Time for action — reading results of football matches from files. Time for action — reading all your files at a time using a single Text file input step. Time for action — reading all your files at a time using a single Text file input step and regular expressions. Time for action — sending the results of matches to a plain file. Time for action — updating a file with news about examinations.

Time for action — running the examination transformation from a terminal window. Time for action — getting data from an XML file with information about countries.

Time for action — reviewing examinations by using the Calculator step. Time for action — reviewing examinations by using the Formula step. Time for action — calculating World Cup statistics by grouping data.

Understanding Pentaho Data Integration(PDI)

Time for action — counting frequent words by filtering. Time for action — finding out which language people speak. Controlling the Flow of Data. Time for action — browsing new PDI features by copyinga dataset. Time for action — assigning tasks by filtering priorities with the Filter rows step. Time for action — gathering progress and merging all together. Time for action — giving priority to Bouchard by using Append Stream.

Time for action — calculating flexible scores by using variables.


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Time for action — changing a list of house descriptions with JavaScript. Transforming the Row Set. Time for action — enhancing a films file by converting rows to columns. Time for action — calculating total scores by performances by country. Time for action — enhancing the matches file by normalizing the dataset. Generating a custom time dimension dataset by using Kettle variables.

Book Description

Time for action — getting variables for setting the default starting date. Validating Data and Handling Errors. Time for action — capturing errors while calculating the ageof a film.