Essential Pentaho ETL: A self-study reference and practice book for ETL beginners
- Length: 96 pages
- Edition: 1
- Language: English
- Publication Date: 2020-12-24
- ISBN-10: B08RB8X4Y7
- Sales Rank: #1651764 (See Top 100 Books)
A self-study reference and practice book for ETL beginners. The Essential Pentaho ETL book provides an overview of the Pentaho Data Integration. This will develop the skill to create easy ETL solutions using the UI-based designer. The Pentaho Data Integration Spoon can connect to various sources including structured, semi-structured, and non-structured sources. This will also help you install the Pentaho Data Integration Spoon, customizing the Pentaho Data Integration Spoon, understanding how to deal with data, scheduling the ETL Jobs and Transformations, and Monitoring the ETLs.
It is a self-study PDI ETL reference and practice book that will take you from dreaming of learning ETL and the potential to unlocking your success as an ETL beginner. So, the author of this book aims to assist you to get acquainted with PDI ETL.
One of the goals of this edition of Essential Pentaho ETL is to provide a book that can be used as a teach-yourself book. Here are some of the concepts that cover in the Essential Pentaho ETL, First Edition, as a textbook:
- Setup PDI ETL Spoon on your local machine
- Setup Pentaho server on your local machine
- Configure the PDI
- Connect to the PDI Repository
- Customise the PDI
- Create Jobs and Transformation.
- Create, preview, and run basic transformations containing steps and hops
- View transformation results in the Step Metrics view and the Log view
- Create a database connection and use Database Explorer to interact with a data source
- Create more transformations that involve configuring the following steps: Table input, Table output, Text file output, CSV file input, Filter, Sort rows, Row normalizer, Get Data from XM, etc.
- Use ETL design patterns to populate a data warehouse
- Create Pentaho Data Integration jobs that: run multiple transformations, load and process multiple text files
- Create a transformation that uses a rest API as an input and output
- Create tranformation that uses table and flat files as an input
PREFACE........................................................................................V WHAT KIND OF BOOK IS THIS?...............................................VI WHY SHOULD YOU READ THIS BOOK?................................VII SYSTEM USED TO DEVELOP THIS BOOK'S ETL EXAMPLES VIII PRE-REQUISITES........................................................................IX ACKNOWLEDGEMENT................................................................X Introduction Business Intelligence (BI) On-line Transaction Processing (OLTP) On-line Analytical Processing (OLAP) Data Analysis Data mining Data Warehousing Fact & Dimension Tables Data Integration (DI) / ETL Extract, Transform & Load Pentaho Data Integration (PDI) Why Pentaho PDI ETL is better PDI/Kettle Data sources Who uses PDI/Kettle? PDI/Kettle tools and files Chapter 1: Getting Started with PDI Setting up Pentaho ETL Working Environment PDI Server PDI Client Java Virtual Machine Solution Database Repository Web Browsers Setting up Pentaho PDI Server Installation of Pentaho Data Integration Server Start the PDI Server Stop the PDI Server Setting up Pentaho PDI client Installation of Pentaho Data Integration Client Start the PDI Client tool ETL Transformation Options Stop the PDI Client tool Installing JDBC Drivers Pentaho Server Pentaho Client Chapter 2: Customize Your PDI Kettle Options General Look & Feel PDI Marketplace Chapter 3: Configure Your PDI Configure the PDI Repository Connecting to the PDI Repository Disconnecting the PDI Repository Configure KETTLE Home Chapter 4: Dealing with Data Working with Files and Directories Reading a TXT file Reading a CSV files using CSV step Input Read XML data using XML Input Stream step Working with Tables and Databases PDI - SQL dialect-specific Connecting to a database Reuse the Existing Database Connection Parameterizing the connection detail Getting data from files and writing data to a database table Getting data from a database tables and writing data to a database table Working with Rest API's GET Method PUT Method Chapter 5: Scheduling and Managing ETL Scheduling ETL Monitoring SUMMARY SAMPLE CODE USED IN THIS BOOK WE WANT TO HEAR FROM YOU! ABOUT THE AUTHOR
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