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Key benefits

Intergrate Kettle in integration with other components of the Pentaho Business Intelligence Suite, to build and publish Mondrian schemas,create reports, and populatedashboards

This book contains an organized sequence of recipes packed with screenshots, tables, and tips so you can complete the tasks as efficiently as possible

Manipulate your data by exploring, transforming, validating, integrating, and performing data analysis

Description

Pentaho Data Integration is the premier open source ETL tool, providing easy, fast, and effective ways to move and transform data. While PDI is relatively easy to pick up, it can take time to learn the best practices so you can design your transformations to process data faster and more efficiently. If you are looking for clear and practical recipes that will advance your skills in Kettle, then this is the book for you. Pentaho Data Integration Cookbook Second Edition guides you through the features of explains the Kettle features in detail and provides easy to follow recipes on file management and databases that can throw a curve ball to even the most experienced developers. Pentaho Data Integration Cookbook Second Edition provides updates to the material covered in the first edition as well as new recipes that show you how to use some of the key features of PDI that have been released since the publication of the first edition. You will learn how to work with various data sources ‚Äì from relational and NoSQL databases, flat files, XML files, and more. The book will also cover best practices that you can take advantage of immediately within your own solutions, like building reusable code, data quality, and plugins that can add even more functionality. Pentaho Data Integration Cookbook Second Edition will provide you with the recipes that cover the common pitfalls that even seasoned developers can find themselves facing. You will also learn how to use various data sources in Kettle as well as advanced features.

Who is this book for?

Pentaho Data Integration Cookbook Second Edition is designed for developers who are familiar with the basics of Kettle but who wish to move up to the next level.It is also aimed at advanced users that want to learn how to use the new features of PDI as well as and best practices for working with Kettle.

What you will learn

Configure Kettle to connect to relational and NoSQL databases and web applications like SalesForce, explore them, and perform CRUD operations

Utilize plugins to get even more functionality into your Kettle jobs

Embed Java code in your transformations to gain performance and flexibility

Execute and reuse transformations and jobs in different ways

Integrate Kettle with Pentaho Reporting, Pentaho Dashboards, Community Data Access, and the Pentaho BI Platform

Interface Kettle with cloud-based applications

Learn how to control and manipulate data flows

Utilize Kettle to create datasets for analytics

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

Frequently bought together

Pentaho Data Integration Beginner's Guide - Second Edition

$54.99

Pentaho 5.0 Reporting by Example: Beginner's Guide

$54.99

Pentaho Data Integration Cookbook - Second Edition

$54.99

Total $ 164.97

Russ May 15, 2015

This book builds on is predecessor. It picks up where the previous book left off and adds to the foundation. This book had already helped me several times.

Amazon Verified review

Fábio de Salles Mar 18, 2014

A cookbook builds upon reader's knowledge on some subject to teach her new recipes. For instance, have you ever seen some TV cook teaching how to break eggs? You just learn it from seeing it and then it's recipe time!Packt new book, Pentaho Data Integration Cookbook 2nd Edition [...]... which they presented me for reviewing), released a couple of weeks ago is the quintessential cookbook: it will not teach you how to install, run or create new transformations and jobs - that is a job for the great PDI Beginner's Guide (also from Packt.) Instead it is going to teach you recipes, little HOW-TOs, on over a hundred subjects.There are recipes about connecting to a database, how to parametrize it (and why do it), how to read data from relational or NoSQL (like MongoDB) databases, how to feed it to a sub-transformation, then handling the streams and its metadata up to finally writing everything to a Hadoop cluster and so on. It does not stop on PDI: There are recipes on how to read and write data to cloud (Amazon and Salesforce), how to run jobs and transformations from inside BI Server (effectivelly turning it into a data integration resource), generate fully formated Pentaho Reports from inside a PDI transformation OR with a transformation as a data source from inside PRD.I've been reading the book for the last two weeks and, frankly, it seems endless: Data analysis, optimization, sampling data for Data Mining, InstaView, AgileBI, read SAS files, treating JSON and XML files, creating new functionalities (requires Java understanding but NO compilation or program building), send e-mail, add extra log messages etc. etc. etc. Besides the sheer recipe number, each recipe comes with some variation on the theme, occasionally a discussion about the pros and cons of the possibile options and alternatives (like Database Lookup vs. Database Join) So, each recipe not only tells you how to do something, but also adds a lot of value explaining how PDI works. When applicable there are comments on performance issues and how to get the best out of PDI (my favorite one is on location 400: how to use a in-memory database to speed up lookups!)You can take a look at the complete recipe list on Packt's site (at [...]...).Every recipe builds on the reader's knowledge but there is enough details so no novice user can run the recipe, without boring the more experienced reader. Figures are sparingly used, only when the authors feel it is going to better explain some setup. It helps to keep the book shorter (a +400-page hulk already) but on the other hand demands more attention on reading.As a lot of Packt books, this one has been written by non-native English speakers which renders the language a bit "unfluid". It does not hinder the reading but makes it unconfortable some times.This book (you can buy it here [...]..) is a treasure chest, with great value to either new or seasoned PDI users. If you already know how to use PDI and want to get better with it, this book is a good reading. If you want to learn how to use PDI, look for Packt's "PDI Begginer’s Guide" and then read this book. It is a must-have!

Amazon Verified review

Carlos Viana Aug 31, 2014

Very good. It worths

Amazon Verified review

Atul Madan Mar 17, 2017

Book a great help and very practical

Amazon Verified review

Josep Curto Mar 03, 2014

In 2011, the first edition of “Pentaho Data Integration Cookbook” was published. In that moment in time, the book was interesting enough for a PDI (Pentaho Data Integration) developer as it provided relevant answers for many of the common tasks that have to be carried out for data warehousing processes.After two years, the data market has greatly evolved. Among other trends, Big Data is a major trend and nowadays PDI included numerous new features to connect and use Hadoop and NoSQL databases.The idea behind the second version is to include some of the brand new tasks required to tame Big Data using PDI and update the content of the previous edition. Alex Meadows, from Red Hat, has joined the previous authors (María Carina Roldan and Adrián Sergio Pulvirenti) in this second version. Maria is author of four books about Pentaho Data Integration.What is Pentaho Data Integration?I’m sure that many of you already know it. For those who doesn’t. PDI is an open source swiss army knife of tools to extract, move, transform and load data.What is this book?To put it simply. It includes practical handy recipes for many of the everyday situations for a PDI developer. All recipes follow the same schema:State the problemCreate a transformation or job to solve the problemExplain in detail and provide potential pitfallsWhat is new?One thing that a potential reader can question himself is: If I already have the previous one, is it worth to read this additional version? If you are a Pentaho Data Integration developer, the easy answer is yes. Mainly, because the book includes new chapters and sections for Big Data and Business Analytics, technologies that are becoming crucial core corporate capabilities in the information age.So, in my humble opinion, the most interesting chapters are:Chapter 3: where the reader will have the chance to learn how to load / get data into Hadoop, hbase and MongoDB.Chapter 12: where the reader will be given the opportunity to read data from a SAS data file, to create statistics from a data stream and to build a random data sample for Weka.What I’m missing or could be improved?More screenshots, some readers probably could think the same. Being honest, while I’m happy about the chapter 3 and 12, it will be interesting to have more content related to these topics. So, let’s put it this way. I am counting down the days for the following edition.In summary, an interesting book for PDI and data warehousing practitioners that give some information about how to use PDI for Big Data and Analytics.

Amazon Verified review

Pentaho Data Integration Cookbook - Second Edition: The premier open source ETL tool is at your command with this recipe-packed cookbook. Learn to use data sources in Kettle, avoid pitfalls, and dig out the advanced features of Pentaho Data Integration the easy way. , Second Edition

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