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