Pentaho is an extensively used Business Intelligence toolset (suite) across industries for data management. The suite is available in two editions- Community Edition(CE) and Enterprise Edition(EE). Analysts, data managers, software developers, and even students find the applicability of this tool. Companies like JP Morgan, Dell, TCS, Accenture, OLX, Bank of America to name a few, have deployed Pentaho as an ETL tool.
In this Pentaho tutorial, we will go through the below topics
Penatho is a Business Intelligence tool that offers a wide range of data solutions to its customers. The main features of this tool are reporting, data integration, data mining, data analysis that account for the improvement of the business. A Pentaho suite enhances the overall performance of the business by generating informative reports in varied formats like text, XML, HTML, CSV, Excel, PDF, etc.
Pentaho Business Intelligence tool suite is a set of tools that offers several benefits to businesses at an affordable cost and fast speed in terms of data management. Compared to other BI tools like SAP, SAS BIA, and IBA, the Pentaho BI offers exceptional technical support to the customers. It is highly scalable and offers large volume support to process data up to billion terabytes in size.
The scope of the Pentaho BI suite is vast supporting all kinds of data and data sources that furnish limitless visualization options. It supports an unlimited amount of data be it big data or existing data in the business IT. The tool works on several core engines that work independently and is administered by a dedicated community. It can be used across different platforms that process hybrid data (text, graphics, visuals GIFs etc) like mobile apps, cloud apps.
Pentaho BI offers multiple features for the smooth workability of the business, such as:
Related Article: Pentaho BI Interview Questions and Answers
Now, in this Pentaho tutorial, we will learn about Pentaho BI suite:
The Pentaho BI suite is a three-tier system that has different layers for exclusive functioning. It comprises of following layers and components:
Tiers or layers:
Pentaho BI Suite includes the following components:
The Pentaho BI reporting tool can be used for generating reports both on-demand and as per the fixed schedule set by the user. The reporting tool, however, works in association with the JFreeReport Project. The reports published by this tool are available in different formats like TXT, XLS, HTML, PDF, etc.
Another feature of this suite is an analysis of the extracted and transformed data which is now available in the form of reports. The analysis can be presented in multiple ways such as a Pivot table. The graphical user interface is well enhanced with projection tools like Flash, SVG, etc. Other features include Workflow integration, portals and dashboard widgets that are integrated with the apps.
The dashboard serves as the front face of the suite that offers well-reported content along with analysis and layout. The Pentaho suite also offers a self-service dashboard that has multiple layouts and templates to offer to its users. If the user is willing to get some training, personalized dashboards can also be made.
4. Data Mining
Data Mining refers to extracting hidden patterns and future indicators from the available data that increases predictability of the future business and also accounts for forecasting. Data mining runs on the concept of machine learning which is backed by sophisticated algorithms that involve decision trees, networks, principal component analysis and clustering of data.
This feature allows interaction with the data at the graphical and program level to enable future analysis.
5. Pentaho Data Integration
Pentaho data integration is a tool that allows and enables data integration across all levels. This tool possesses an abundance of resources in terms of transformation library and mapping objects. This helps in data integration, Big data analytics, data integration, and Hadoop data management.
In order to install Pentaho, following are the requirements:
Ram: 2Gb minimum
Hard drive: 1Gb minimum
Processor: Dual-core EM64T or AMd64
The hardware requirements of this suite are not fixed and are dependent upon the software requirements. If the bare minimum software requirements are met then hardware does not pose many issues.
A Pentaho Reporting designer is a sophisticated reporting tool that works on the pixel level and ensures accurate reporting. The tool is backed by a profound graphical user interface and is an open-source software. The reports generated by the Pentaho reporting designer are highly elaborate, relative, and analytical in nature that allows deep insight into the data and data source. A reporting designer is responsible for making the raw data useful and workable. It is highly compatible and works across almost all data sources.
The Pentaho administration console consists of the following components:
1. Report Designer
The report designer is a report building tool that allows for creating a data-driven report. The tool is highly flexible and scalable.
2. Design Studio
The design studio gives you the feel of working on an actual report by allowing the hand-edit of the report. This tool is supported by Eclipse and is a customization tool.
3. Aggregation Designer
The Mondrian cube efficiency is optimized with the help of this tool.
4. Metadata Editor
This tool enables the customization of the metadata layer into the system and data source.
5. Pentaho Data Integration
The ETL tool supported by the Pentaho BI suite allows Extract, Transforms and Loads the data.
The Pentaho BI suite is an exclusive business intelligence package that offers a wide range of data manipulation options including the basic ETL. The scope of this suite is quite wide and is used by business analysts, software programmers, researchers, and students, etc. Even being a highly sophisticated and complex intelligence tool, the ease of use it provides to its users is highly appreciable.
Do you have any queries in this Pentaho Tutorial? Put your questions and thoughts in the comment session.
Ravindra Savaram is a Content Lead at Mindmajix.com. His passion lies in writing articles on the most popular IT platforms including Machine learning, DevOps, Data Science, Artificial Intelligence, RPA, Deep Learning, and so on. You can stay up to date on all these technologies by following him on LinkedIn and Twitter.