Informatica tutorial is about the popular Informatica tool for Extraction, Transformation, Load (ETL), and Data Integration. The Informatica Power Center as a tool has evolved with high industry demand features and advancements in the data integration domain over time. It helps to create and manage data pipelines for various data warehouse and data lake project implementations. Its ETL capabilities are in very good demand while an enterprise implements data projects. The cloud version of Informatica, known as Informatica cloud services, has a large scope of connecting and moving data among several cloud-based Saas applications like salesforce CRM and databases.
Why do we need to learn Informatica?
We need to learn Informatica as it is the industry-preferred data integration tool to develop mappings and solutions for data processing between several systems and databases. The features of Informatica help to process data by applying required business transformations like shorting, joins, string functions, lookups, and data routing logic. Along with data processing, Informatica has very good options for parallel processing, command line invocation, and support for job scheduling capabilities. Moreover, Informatica has very good numbers of APIS to support Data quality like address doctor allocation, which is useful to validate the physical address data.
Informatica product's latest offerings like Informatica cloud support artificial intelligence-based data processing for data catalog and profiling strategies. As a result, the product is popularly known as Informatica intelligence cloud service.
Applications of Informatica
Informatica is a tool that can be applied to several business requirements related to business intelligence, data, and application integration. It is a best-fit tool for ETL operations of enterprise data warehousing projects.
The Informatica tool can be implemented to process
Master data management
data flow, and mappings development.
Cloud application Integration solution development
Big Data pipeline implementation for data engineering practices for data analytics and AI projects.
Data transformations rules
Business data validation rules
API management for cloud-based microservices implementations
Data security and governance management.
Data replication services
We will discuss an example of Informatica implementation with an ETL scenario illustration.
For business scenarios of Sales Data routing, the Data is routed to a different data store or database table based upon the country-specific identifier using Informatica as an ETL tool. Following is an overview diagram for the above business requirement using Informatica.
The Informatica implementation use case example shows the Sales data routing business requirements.
In this example, the Sales Datastores in Backend databases are created through the business application.
Informatica tool reads the data from the source Database string the sales data.
It processes the data using Routing transformation based upon the country identification in the data.
Based upon the Routing transformation condition, it propagates the data to target country A and Country B sales databases.
The basic prerequisite for the Informatica tutorial is SQL queries, DBMS concepts, various vendor-specific databases like MS SQL Server, Oracle, DB2, flat-file structure formats such as csv formats, and enterprise data integration concepts.
The target audience for Informatica tutorials are
Data warehouse professionals
Any software architects and database professionals who want to enhance the skill of data integration using Informatica.