Pentaho Tutorial for Beginners
Popularly revered as open source Business Intelligence package, Pentaho has phenomenal ETL, analysis, metadata and reporting capabilities. This BI tool helps customers recognize the benefits of big data while offering a cost-effective, agile and productive cloud delivery model.
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It is a multi-purpose BI platform allowing enterprises to analyze, integrate and present data through comprehensive reports and dashboards. With a self-exploratory designed interface, Pentaho has made valuable contributions in data analytics, providing business suggestions and presenting your data and information in interactive report formats.
- Can be deployed over any infrastructure including any big data cluster
- Simple and interactive reports are developed using a step-by-step wizard
- Connectivity allows contents to be directly published on BI server.
Learn about Pentaho data integration in this incisive video now.
The commendable flexibility of Pentaho has accelerated its adoption by majority of enterprises and business groups today. They rely on Pentaho services to identify the barriers that block company’s ability to extract value from data. Further, Pentaho provides various solutions and translate data into value. Together with open source technology, it supports extensible and embeddable architecture allowing each member to make use of the services.
The major reasons why enterprises are choosing Pentaho for their businesses are:
- Controlled data delivery: It merges trusted and timely data for powerful data analytics at scale for all users in all environments
- Easily embeddable: Pentaho supports multi-tenant architecture, which allows embedding analytics into any workflow application like Cloud, mobile and hybrid data models.
- Power to integrate: It accurately integrates and blends data from multiple sources, regardless of the deployment environments. Provides flexibility of analytics, turning big data into valuable insights.
- Interactive and simple visual tools: The visual drag and drop tools at Pentaho keep users away from the burdens of complex coding.
Pentaho Tutorial Video
There are basically four layers in Pentaho’s architecture:
|Presentation layer||Contains data available through reporting, analysis, process management, etc.|
|Data layer||Used to connect any database|
|Server layer||Allows applications to run on top of it|
|Client layer||Contains two client|
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This learning package at Intellipaat will also help you in performing validations and handling data errors. It will give deeper insights into working with databases and performing advanced operations on them through real-time examples. In fact, each heading of this tutorial is clear and simple to grasp even by entry-level individuals.
If you are passionate about big data processing and generating best business reports, this tutorial will serve an excellent roadmap to navigate you in the right direction and take you to the next level in your career. Nonetheless, if you are familiar with Pentaho, you can refer to this tutelage and quickly retouch your Pentaho concepts and gain perfection.
- Business Analyst and BI developers
- Data Scientists, Data Warehousing Programmers and Solution Architects
- Entry-level enthusiasts and advanced professionals aspiring bigger careers in Business Intelligence (BI) and Data Analytics.
- Understanding of database and data warehousing concepts
- Familiarity with any programming languages like Java, C++ and basics of object oriented programming
- Knowledge of Linux and UNIX can be beneficial
Table of Content
Introduction To Pentaho
What is Pentaho?
Pentaho Data Integration is an engine along with a suite of tools responsible for the processes of extracting, transforming, and loading—best known as the ETL processes. Pentaho Data Integration and Pentaho BI Suite: Before introducing PDI, let’s talk about Pentaho BI Suite. The Pentaho training from Intellipaat lets you master the Business Intelligence Suite that is a Read More
Getting Started With Transformations
Pentaho Data Integration Transformation
Reading data from files: Despite being the most primitive format used to store data, files are broadly used and they exist in several flavors as fixed width, comma-separated values, spreadsheet, or even free format files. PDI has the ability to read data from all types of files. Interested in learning Pentaho data integration from Intellipaat. Create Read More
Steps for PDI Transformation with Java Script Code
Transforming the Row Set
Enhancing a films file by converting rows to columns: Download the file from the Packt website. Create a transformation and read the file with a Text file input step. In the Content tab of the Text file input step put : as separator. Also uncheck the Header and the No empty rows options. In the Fields tab enter two Read More
Validating Data and Handling Errors
Steps to Validate and Handle Errors in Pentaho
Capturing errors while calculating the age of a film: Get the file with the films. You can take the transformation that denormalized the data and generate the file with a Text file output step, or you can take a sample file from the Packt website. Create a new transformation and read the Read More
Working with Databases
Steps to create database connection in Pentaho
Creating a connection with the Steel Wheels database: Go to the Pentaho Download site: http://sourceforge.net/projects/pentaho/files/. Under the Business Intelligence Server look for the file named pentaho_sample_data-1.7.1.zip and download it. Unzip the downloaded file. Run start_hypersonic.bat under Windows or start_hypersonic.sh under Unix-based operating systems. If you download the sample data, you will find these scripts Read More
Performing Advanced Operations with Databases
Steps to perform Pentoho Advanced Operations with Databases
Populating the Jigsaw database: From Packt's website download the js_data.sql script file. Launch the MySQL query browser. From the File menu select Open Script.... Locate the downloaded file and open it. At the beginning of the script file you will see this line: USE js; If you created a new database, replace Read More
Creating Basic Task Flows
Steps to create basic task flows in Pentaho
Receiving arguments and parameters in a job: Jobs, as well as transformations, are more flexible when receiving parameters from outside. Get the Pentaho training online for taking your career to the next level. Customizing the hello world file with arguments and parameters: Create a new transformation. Press Ctrl+T to bring up the Transformation Read More
Creating Advanced Transformations and Jobs
Steps to create Pentaho Advanced Transformation and Creating a new Job
Updating a file with news about examinations by setting a variable with the name of the file: Copy the examination files you used in Chapter 2 to the input files and folder defined in your kettle.properties file. If you don't have them, download them from the Packt website. Open Spoon Read More
Developing and Implementing a Simple Datamart
Steps to build a Data Mart with Pentaho Data Integration
Loading dimensions for the sales datamart: Check that the database engine is up and that both the js and the js_dw databases are accessible from PDI. If your time dimension table, lk_time, has data, truncate the table. You may do it by using the Truncate table [lk_time] option in the Read More