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Pentaho is the most efficient data integration tool. It can connect to any data source like Excel, Database, XMLs, PDFs, Hadoop, etc. It can perform data transformations, data clustering, and data mining. It also offers several visualization operations through which users can create enhanced dashboards. It simplifies the process of data preparation through analytical modeling and machine learning.
Planning to attend an interview on Pentaho? Don't worry we are here to help you with that. In this post, we will list out the top 13 Pentaho interview questions. Go through the below frequently asked Pentaho interview questions and answers before you attend an interview.
Ans: Pentaho's metadata model transforms the physical structure of your database into a business model. The mappings in the business model get stored in a central repository. So, the developers can build optimized DB tables on top of that, which means that they can build an abstraction layer around the physical definitions of your database that depicts the information in the tables in business terms.
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Ans: Pentaho offers the below server applications.
Ans: The following are the types of data integration jobs.
Ans: Pentaho Reporting Evaluation is a package under Pentaho reporting capabilities. It is useful for data evaluation activities like accessing sample data, creating reports, editing reports, accessing the reports, and interacting with reports.
Ans: Multi-Dimensional Expressions (MDX) is a query language developed by Microsoft SQL OLAP Services. Its structure is different from regular SQL. It will be more like the formulas that we use in spreadsheets. This is the syntax for MDX,
SELECT {[Tablename].[Column1], [Tablename].[Cloumn2]} ON COLUMNS,
{[Date].&[2020]} ON ROWS
FROM [Tablename]
WHERE [Time].[2010].[Q2]
Ans: In PDI, we have to use the 'Table Input' method to join two tables that reside in the same database. To join two tables that reside in different databases, we have to use 'Database Join'. When a join is performed, the input query executes on the target system, which might lower performance. To avoid this, we can use 'Merge Join' on the two different Table Input steps.
Ans: Hierarchy flattening is a process of establishing parent-child relationships in a database. It makes use of both horizontal and vertical formats that allow users to identify sub-elements easily. It includes the parent column, child column, parent attributes, and child attributes, which makes it easy to read the BI hierarchy.
Ans: Pentaho Report Designer (PRD) is a graphic tool that allows users to create reports. Users can execute several report-editing functions that are available to generate simple or advanced reports. Once the report generation is done, we can export them in the form of Excel, HTML, PDF, and CSV files. PRD has a report engine based on Java that enforces data integration, portability, and scalability. This helps in integrating it with servers like Pentaho BA Platform or Java web applications.
Ans: No, we cannot sequentialize transformations in Pentaho. By default, all the transformations of steps/operations in Pentaho Data Integration execute in parallel. If you want to make this happen, you will have to change the core architecture of PDI.
Ans: If you have jobs or transformations already loaded in Spoon, you can close and reopen them. Or, you can also create a new job or transformation.
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Ans: Yes, we can use logic from one transformation/job in another process through sub transformations. We can call or reconfigure these sub transformations when we want. It allows the loading and transformation of variables, which enhances efficiency and productivity.
Ans: These are the types of reports that Pentaho supports.
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Ans: We can configure the JNDI connection for local data integration. During the development and testing of transformations, it helps in avoiding the continuous running of the application server. Go to the …\data-integration-server\pentaho-solutions\system\simple-JNDI location and edit the properties in ‘jdbc.properties’ file.
Ans: With practically all data sources supported, Pentaho is regarded as an effective and resourceful data integration tool, enabling scalable data clustering and data mining. Pentaho is also regarded as a lightweight business intelligence suite that performs ETL operations, OLAP services, the development of reports and dashboards, as well as other data-analysis and visualization tasks.
Ans: The following are the most important features of Pentaho.
Ans: Some of the major applications that makes use of Pentaho BI Project:
Ans: Transformation means transforming or shifting rows from the source system to the destination while jobs means performing high level tasks like utilizing transformations, sending mails, file transfer through FTP, etc. Another important difference is that transformation enables parallel execution which jobs use steps to perform.
Ans: Data Integration is related to passing the data from one system to another in the same application while ETL is related to extracting and accessing the data from various sources and transforming them to other tables and objects.
Ans: We cannot duplicate the field names in a row. Pentaho doesn’t allow it.
Ans: As you choose the original field, "Select Values" will rename the field. A duplicate name of another field will now be used for the original field.
Ans:
Ans: Pentaho Dashboards refers to collections of different information objects, such as text, tables, and diagrams, on a single page. BI data is extracted using the Pentaho AJAX API, while content definitions are stored in the Pentaho Solution Repository.
The procedures for creating a dashboard include
Ans: Administrators can define a layer of abstraction that provides database information to the business users in everyday business terms with the aid of open-source metadata capabilities of Pentaho.
Ans: If there are duplicate field names, we cannot. We could force duplicate fields prior to PDI v2.5.0, but only the first value of the duplicate fields can’t be used ever.
Ans: With the help of Pentaho reporting, businesses can simply access, format, and present useful and crucial information to clients and consumers through the creation of structured and informative reports. Additionally, they assist business users in tracking and analyzing consumer behavior for the relevant period of time and functionality, guiding them in the direction of success.
Ans: A Tuple is an ordered list of finite elements.
Ans: The Weka Project, which includes a comprehensive tool set for machine learning and data mining, is referred to as Pentaho Data Mining. Weka is free software that can be used to extract massive amounts of data about customers, clients, and enterprises. It is developed by Java-based code.
Ans: The transformation dialog box includes two tables. One of them includes arguments while the other includes variables. Arguments indicate the command line set while batch processing whereas PDI variables indicate the objects that were set prior to transformation or job in the operating system.
Ans: Pentaho Schema Workbench provides the graphical edge for creating OLAP cubes for the Pentaho Analysis.
Ans: Users can go directly to the site section various levels below from the top using the hierarchical navigation menu.
Conclusion
Since Pentaho Fusion HCM is an open-source platform that runs on-premises. So you can try working on the tool too. The Pentaho Fusion HCM developers are high in demand with decent pay. A lot of reputed companies are already using Pentaho HCM solutions to carry out their HR-related tasks. So, there are plenty of job opportunities for the candidates to grasp.
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