Online Analytical Processing (OLAP) refers to a category of software tools and technologies used for analyzing multidimensional data from various perspectives. It enables users to perform complex and interactive analysis on large datasets with a focus on business intelligence and decision support.
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In the scenario where the source is a flat file with duplicate records, you can use the Sorter and Aggregator transformations in Informatica to populate distinct records into the target.
Creating connections in both the Application Integration Console and the Administrator interface allows for flexibility in managing connections based on the specific needs and context. It ensures that connections can be easily reused across different components and functionalities within Informatica Cloud/IICS, promoting efficiency and consistency in managing integrations and data workflows.
In most traditional database systems, nulls are not allowed in primary keys. A primary key is a column or combination of columns that uniquely identifies each row in a table. The primary key ensures data integrity and provides a way to uniquely identify and reference individual records.
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An administrator-accessible Scheduler must have a minimum interval of 5 minutes.
Foreign keys cannot have duplicate values. A foreign key is a column or a set of columns in a table that refers to the primary key of another table. It establishes a relationship between two tables, known as a parent-child relationship.
The purpose of a foreign key is to maintain referential integrity, ensuring that the values in the foreign key column(s) correspond to existing values in the referenced primary key column(s) of the parent table. This relationship helps enforce data consistency and integrity across related tables.
Transformations like expression, aggregator, filter, and router are indeed a part of mapping in Informatica Cloud/IICS.
In Informatica Cloud/IICS, a mapping represents the data transformation logic that defines how data is manipulated and processed as it moves from source to target. Transformations are the building blocks within a mapping that enable data manipulation, filtering, aggregation, and routing based on specific criteria and business rules.
