Название: Pentaho 3.2 Data Integration: Beginner's Guide
Автор: María Carina Roldan
Издательство: Packt Publishing
Количество страниц: 492
Размер: 14.4 Мб
Pentaho Data Integration (a.k.a. Kettle) is a full-featured open source ETL (Extract, Transform, and Load) solution. Although PDI is a feature-rich tool, effectively capturing, manipulating, cleansing, transferring, and loading data can get complicated.
This book is full of practical examples that will help you to take advantage of Pentaho Data Integration’s graphical, drag-and-drop design environment. You will quickly get started with Pentaho Data Integration by following the step-by-step guidance in this book. The useful tips in this book will encourage you to exploit powerful features of Pentaho Data Integration and perform ETL operations with ease.
Starting with the installation of the PDI software, this book will teach you all the key PDI concepts. Each chapter introduces new features, allowing you to gradually get involved with the tool. First, you will learn to work with plain files, and to do all kinds of data manipulation. 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.
Explore, transform, validate, and integrate your data with ease
Get started with Pentaho Data Integration from scratch.
Create a simple but complete Datamart Project that will cover all key features of PDI.
Part of Packt’s Beginner’s Guide series: Each task gradually develops from the previous task with an organized sequence of instructions accompanied with relevant explanation and a set of challenging tasks that the reader will be able to accomplish.
What you will learn from this book
Install Penataho Data Integration and get familiar with the graphical designer–Spoon
Work with files to get data from simple input sources, preview, and send it back in any of the common output formats
Perform basic transformation operations on data such as performing calculations, adding constants, counting, filtering, ordering, and searching data
Solve real-world problems by manipulating the flow of data by combining or splitting it
Solve sophisticated problems such as normalizing data from pivoted tables with ease
Explore the various PDI options to validate data and to handle errors
Connect to a database engine of your choice to get and store information coming from any source
Perform advanced operations with databases such as loading data warehouses dimensions
Create advanced processes such as nesting jobs, iterating on jobs and transformations, and creating subtransformations
Implement business processes by scheduling tasks, checking conditions, organizing files and folders, sending emails with alerts, and treating errors in a way that meets your requirements