Mixed

What are important features of Pentaho?

What are important features of Pentaho?

Explain the important features of Pentaho. Pentaho is capable of creating Advanced Reporting Algorithms regardless of their input and output data format. It supports various report formats, whether Excel spreadsheets, XMLs, PDF docs, CSV files.

Can we Sequentialize transformations in Pentaho explain your answer?

Ans: Since PDI transformations support parallel execution of all the steps/operations, it is impossible to sequentialize transformations in Pentaho. Moreover, to make this happen, users need to change the core architecture, which will actually result in slow processing.

What are the Pentaho Report types Mcq?

Pentaho is a suite (collection of tools) for creating relational and analytical reporting. Using it, we can transform the complex data into meaningful reports and draw information out of them. It supports creating reports in various formats such as HTML, XML, Excel, PDF, Text, and CSV.

What are the Pentaho Report types?

Pentaho supports creating reports in various formats such as HTML, Excel, PDF, Text, CSV, and xml.

READ ALSO:   What is the force between magnetic fields?

What is the purpose of Pentaho?

Pentaho is business intelligence (BI) software that provides data integration, OLAP services, reporting, information dashboards, data mining and extract, transform, load (ETL) capabilities.

How do you pass parameters in Pentaho Report Designer?

Add Parameters to Your Report

  1. In the Report Designer, click File > Open to select the report you created.
  2. In the menubar go to Data > Add Parameter.
  3. In the Add Parameter dialog box, type enter_prodline in the Name text field.
  4. Type Select Line in the Label text field.

How do I work for Pentaho?

Pentaho Data Integration (PDI) tutorial

  1. Prerequisites.
  2. Step 1: Extract and load data. Create a new transformation.
  3. Step 2: Filter for missing codes. Preview the rows read by the input step.
  4. Step 3: Resolve missing data.
  5. Step 4: Clean the data.
  6. Step 5: Run the transformation.
  7. Step 6: Orchestrate with jobs.