It addresses the blockades that block the organization’s ability to get value from all our data. Pentaho is discovered to ensure that each member of our team from developers to business users can easily convert data into value.
Direct Analytics on MongoDB: It authorizes business analysts and IT to access, analyze, and visualize MongoDB data.
Science Pack: Pentaho’s Data Science Pack operationalizes analytical modeling and machine learning while allowing data scientists and developers to unburden the labor of data preparation to Pentaho Data Integration.
Full YARN Support for Hadoop: Pentaho’s YARN mixing enables organizations to exploit the full computing power of Hadoop while leveraging existing skillsets and technology investments.
ThePentaho BI Project is an current effort by the Open Source communal to provide groups with best-in-class solutions for their initiative Business Intelligence (BI) needs.
The Pentaho BI Project encompasses the following major application areas:
Business Intelligence Platform
Business Intelligence Platform
Java developers who generally use project components to rapidly assemble custom BI solutions
ISVs who can improve the value and ability of their solutions by embedding BI functionality
End-Users who can quickly deploy packaged BI solutions which are either modest or greater to traditional commercial offerings at a dramatically lower cost.
Yes, Pentaho is a trademark.
Pentaho Metadata is a piece of the Pentaho BI Platform designed to make it easier for users to access information in business terms.
With the help of Pentaho’s open source metadata capabilities, administrators can outline a layer of abstraction that presents database information to business users in familiar business terms.
Pentaho Reporting Evaluation is a particular package of a subset of the Pentaho Reporting capabilities, designed for typical first-phase evaluation activities such as accessing sample data, creating and editing reports, and viewing and interacting with reports.
Multidimensional Expressions (MDX) is a query language for OLAP databases, much like SQL is a query language for relational databases. It is also a calculation language, with syntax similar to spreadsheet formulas.
Explain the use of Pentaho reporting.
Pentaho reporting enables businesses to create structured and informative reports to easily access, format and deliver meaningful and important information to clients and customers. They also help business users to analyze and track consumer’s behavior for the specific time and functionality, thereby directing them towards the right success path.
What is Pentaho Data Mining?
Pentaho Data Mining refers to the Weka Project, which consists of a detailed tool set for machine learning and data mining. Weka is open source software for extracting large sers of information about users, clients and businesses. It is built on Java programming.
Is Data Integration and ETL Programming same?
No. Data Integration refers to passing of data from one type of systems to other within the same application. On the contrary, ETL is used to extract and access data from different sources. And transform it into other objects and tables.
Explain Hierarchy Flattening.
It is just the construction of parent child relationships in a database. Hierarchy Flattening uses both horizontal and vertical formats, which enables easy and trouble-free identification of sub elements. It further allows users to understand and read the main hierarchy of BI and includes Parent column, Child Column, Parent attributes and Child attributes.
Explain Pentaho report Designer (PRD).
PRD is a graphic tool to execute report-editing functions and create simple and advanced reports and help users export them in PDF, Excel, HTML and CSV files. PRD consists of Java-based report engine offering data integration, portability and scalability. Thus, it can be embedded in Java web applications and also other application servers like Pentaho BAserver.
Define Pentaho Report types.
There are several categories of Pentaho reports:
-Transactional Reports: Data to be used form transactions. Objective is to publish detailed and comprehensive data for day-to-day organization’s activities like purchase orders, sales reporting.
-Tactical Reports: data comes from daily or weekly transactional data summary. Objective is to present short-term information for instant decision making like replacing merchandize.
-Strategic Reports: data comes from stable and reliable sources to create long-term business information reports like season sales analysis.
-Helper Reports: data comes from various resources and includes images, videos to present a variety of activities.
What are variables and arguments in transformations?
Transformations dialog box consists of two different tables: one of arguments and the other of variables. While arguments refer to command line specified during batch processing, PDI variables refer to objects that are set in a previous transformation/job in the OS.
How to configure JNDI for Pentaho DI Server?
Pentaho offers JNDI connection configuration for local DI to avoid continuous running of application server during the development and testing of transformations. Edit the properties in jdbc.propertiesfile located at…\data-integration-server\pentaho-solutions\system\simple-jndi.
Explain in brief the concept Pentaho Dashboard.
Dashboards are the collection of various information objects on single page including diagrams, tables and textual information. The Pentaho AJAX API is used to extract BI information while Pentaho Solution Repository contains the content definitions. The steps involved in Dashboard creation include
-Adding dashboard to the solution
-Defining dashboard content
Can fieldnames in a row duplicated in Pentaho?
No, Pentaho doesn’t allow field duplication.
Does transformation allow filed duplication?
“Select Values” will rename a field as you select the original field also. The original field will have a duplicate name of the other field now.
How to use database connections from repository?
You can either create a new transformation/job or close and reopen the ones already loaded in Spoon.
How to perform database join with PDI (Pentaho Data Integration)?
PDI supports joining of two tables form the same database using a ‘Table Input’ method, performing the join in SQL only.
On the other hand, for joining two tables in different databases, users implement ‘Database Join’ step. However, in database join, each input row query executes on the target system from the main stream, resulting in lower performance as the number of queries implement on the B increases.
To avoid the above situation, there is yet another option to join rows form two different Table Input steps. You can use ‘Merge Join ‘step, using the SQL query having ‘ORDER BY’ clause. Remember, the rows must be perfectly sorted before implementing merge join.
Explain how to sequentialize transformations?
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.
Define three major types of Data Integration Jobs.
-Transformation Jobs: Used for preparing data and used only when the there is no change in data until transforming of data job is finished.
-Provisioning Jobs: Used for transmission/transfer of large volumes of data. Used only when no change is data is allowed unless job transformation and on large provisioning requirement.
-Hybrid Jobs: Execute both transformation and provisioning jobs. No limitations for data changes; it can be updates regardless of success/failure. The transforming and provisioning requirements are not large in this case.