Home / Informatica

Informatica Concepts

Rating: 4.0Blog-star
Views: 5908
by Ravindra Savaram
Last modified: February 15th 2021

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

If you want to enrich your career and become a professional in Informatica, then visit Mindmajix - a global online training platform: "Informatica Online Training" This course will help you to achieve excellence in this domain.

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.

------      Related Article: Informatica Tutorial      ------

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.
 

Check out Frequently Asked Informatica Interview Questions

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.

3. OLAP

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.

Find Training Programs In your Nearest Locations:

Are you looking to get trained in Informatica, we have the right course designed according to your needs. Our expert trainers help you gain the essential knowledge required for the latest industry needs. Join our Informatica Certification Training program from your nearest cities.

Informatica Training Chennai, Informatica Training Bangalore, Informatica Training Hyderabad, Informatica Training Mumbai, Informatica Training Kolkata, Informatica Training Noida, Informatica Training Gurgaon, Informatica Training Pune, Informatica Training Delhi, Informatica Training Dallas, Informatica Training New Jersey, Informatica Training Chicago, Informatica Training Houston.

These courses are equipped with Live Instructor-Led Training, Industry Use cases, and hands-on live projects. This training program will make you an expert in Informatica and help you to achieve your dream job. Additionally, you get access to Free Mock Interviews, Job and Certification Assistance by Certified Informatica Trainers.

List of Informatica Courses:

Mindmajix offers training for many other Informatica courses depends on your requirement:

 Informatica Analyst  Informatica PIM
 Informatica SRM  Informatica MDM
 Informatica Data Quality  Informatica ILM
 Informatica Big Data Edition  Informatica Multi-Domain MDM

 

About Author

author
NameRavindra Savaram
Author Bio

 

Ravindra Savaram is a Content Lead at Mindmajix.com. 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.