Informatica Concepts

Let us explore some of the essential concepts of Informatica and their usage:

Basic Informatica Concepts

1. Data Warehousing

It deals with the methodology of constructing a data warehouse. It includes:

  • Analyzing business requirement
    * ETL Development and Testing
    * Report Development and Testing
    * Database Design

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2. Data Acquisition

This process extracts the business information. It transforms data into the required business process and loads it into the target system. Data Acquisition involves three steps:

Data Extraction

This process reads data from different source systems and thereby defines the extraction.
ERP Source – SAP, Oracle, People Soft
File Source – XML Files, Flat Files
Legacy Source – Mainframes, Cabal files
Relational Source – Oracle, SQL Server.

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Data Transformation

Transforms and cleanses data into the desired business format. Below are some of such data transformation activities:

Data Merging – This process integrates data from multiple source systems. Below are few types of data merging methods.

Horizontal Merging – It merges the records horizontally.

Vertical Merging – When different sources deal with the same ‘metadata’, then the method of merging is termed as Vertical Merging.

Data Cleansing – It alters inconsistency and inaccuracy of data. This process removes the inefficient data before staging.

Data Scrubbing – It derives the latest attributes in a column.

Data Aggregation – It calculates the summary amongst the detailed data.

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Data Loading

It is the process of loading data into a target system. The types of data loading include:

Initial Load – Extracts data from the source and loads it directly into the target system.

Incremental Load – Extracts data from the source system and loads it into the destination system, later on, updates the records into the target system.


OLAP is a technology that recovers data from the data warehouse and its interface. It creates a way among the user and database.
* DOLAP (Desktop OLAP) – It queries data from desktop databases.
* HOLAP (Hybrid OLAP) – It is the integration of ROLAP and MOLAP.
* ROLAP (Relation OLAP) – It queries data from relational sources.
* MOLAP (Multi OLAP) – It queries data from multi-dimensional sources.

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Last updated: 03 Apr 2023
About Author

Ravindra Savaram is a Technical Lead at 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.

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