Introduction to Informatica ETL Training
Informatica is data integration tool based on ETL architecture. It gathers data from various sources and loads it into distinctive targets. It also provides data integration software and services for businesses, industries and government organizations. The government organizations can include telecommunication, health care, financial and insurance services, etc. Informatica ETL training by Ides Trainings is done on virtual interactive platform and in flexible hour arrangement so that on-job professional can attain this course while doing their regular service/business. ETL Testing Online training is rendered by the best subject matter experts. We provide Online, Corporate and Classroom training. We provide Virtual Job Support as well. We provide Classroom training at client premises like Delhi, Mumbai, Hyderabad, Pune, Chennai, Bangalore, Noida, etc.
Prerequisites for Informatica ETL training:
To learn Informatica ETL Training, you must have basic knowledge on
- Oracle 10g, SQL and PLSQL,
- Unix Shell Scripting, Business Intelligence and Data Warehousing,
- ERwin, sql server 2000 2008, DB2, db2 / SQL and Oracle SQL Database.
Course Outline of Informatica ETL Training
Course Name: Informatica ETL Training
Mode of Training: We provide Online, Corporate and Classroom training. We provide Virtual Job Support as well.
Duration of Course: 19 Hours (Can be customized as per the requirement).
Trainer Experience: 18+ years
Timings: According to one’s feasibility.
Batch Type: Regular, Weekends and Fast track.
Do you provide materials: Yes, if you register with Ides Trainings, we will provide materials for Informatica ETL Training.
Course Fee: After registering on our website, one of our coordinators will contact you for further details.
Online Mode: WEBEX, GoToMeeting or SKYPE.
Basic Requirement: Good Internet Speed, Headset.
Backup session: We will provide backup session in case the student misses the class.
Course Content of Informatica ETL Training
Module 1: INFORMATICA ETL TRAINING CONCEPTS
1.2 What is use of testing
1.3 What is quality & standards
1.4 Responsibilities of a ETL Tester
1.5 Software development life cycle
1.6 Waterfall model
1.8 Agile model & methodology
1.9 Prototype model
1.10 Spiral model
Module 2: TESTING METHODOLOGIES
2.1 White box testing
2.2 Black box testing
2.3 Grey box testing
2.4 ETL Testing Work Flow Process
2.5 How to Prepare the ETL Test Plan
2.6 How to design the Test cases in ETL Testing.
2.7 How to reporting the Bugs in ETL Testing?
2.8 ETL Testing Responsibilities in DataStage, Informatica, Abinitio etl
2.9 How to detect the bugs through database queries
2.10 ETL Performing Testing & Performing Tuning
Module 3: DATA WAREHOUSE CONCEPTS
3.1 What is Data Ware House?
3.2 Difference between OLTP and DataWare Housing
3.3 Data Acquisition
3.4 Data Extraction
3.5 Data Transformation
3.6 Data Loading
3.7 Data Marts
3.8 Dependent Data Mart
3.9 Independent Data Mart
3.10 Data Base Design
3.11 Star Schema
3.12 Snow Flake Schema
3.13 Fact constellation Schema
Module 4: SCD(SLOWLY CHANGING DIMENSION)
4.1 Type-1 SCD
4.2 Type-2 SCD
4.3 Type-3 SCD
4.4 Basic Concepts in SQL
4.5 White Box and Black BOX Testing Functionality on Different Transformation Rules
4.6 Data Ware House Life Cycle
4.7 Different Types of Testing Techniques in Informatica ETL Training
4.8 Minus Query
4.9 Count Query
ETL stands for Extraction, Transformation and Load.
The E represents the capability to constantly and reliably extract data with high performance and minimum impact to the source system. The T represents the capability to transform one or more data sets in batch or real-time into a consumable format. The L stands for loading data into a persistent or virtual data store.
What is Informatica ETL?
Informatica is ETL tool which is extensively used for extracting and transforming source data and load it to target. Informatica is substantially used in data integration and data quality services. ETL is used by organizations for analyzing large and complex data for business decisions. ETL can be defined as a process of migrating and manipulating data and converting it to target database.
Context behind Data Integration
Large organizations have a lot of data which can be stored in numerous formats including databases and unstructured files. This data must be collated, combined, compared and made to work as a seamless whole but the different databases don’t communicate well. Many organizations have implemented interfaces between the databases:
Every pair of databases requires a unique interface
If you change one database, numerous interfaces have to be upgraded.
Data integration technologies allow applications using different databases and formats to communicate with each other using only one interface each.
Data integration is the method, technique and technology that deals with the extraction, restructuring, movement and loading of data to logical data stores or repositories in order for it to be used by logical/reporting operations and systems. A framework of operations, products, techniques and technologies for furnishing a unified and harmonious view of enterprise-wide business data.
Goal of Data Integration: Provide uniform access to data available in multiple, independent, heterogeneous and distributed data sources
Uniform (same query interface to all sources)
Access to (queries; eventually updates too)
Multiple (Involves multiple sources)
Autonomous (Independent solution)
Heterogeneous (data models are different)
Distributed (over LAN, WAN, Internet)
Data Sources (not only databases)
Components of ETL
ETL tool has various components like Informatica Domain, repository services, administrator console, source, target, etc.
It is an administrative unit consisting of nodes and services. There are two types of services. They are:
Service Manager: It is responsible for authenticating or authorizing the logins.
Application Service: It is responsible for running the application services.
It maintains the connection between client system and PowerCenter repository. It is a multi-threaded process that fetches, serves and updates the metadata.
These are responsible for handling the metadata and allowing the services to access the same.
This is responsible for executing the tasks created in the informatica tool. As soon as the workflow is executed, the integration service gets the details and executes it.
Is ETL becoming a history with the advent of Big Data?
1. Data needs to flow from source operations into logical data stores in a controlled, dependable, secure manner.
2. Information needs to be formalized, with regards to semantics, format and lexicon, for accurate analysis.
3. Functional results need to be harmonious and repeatable.
4. Functional results need to be verifiable and transparent.
5. Facilitates integration of data from various data sources for building a data warehouse.
6. Businesses have data in multiple databases with different codification and formats.
7. Transformation is needed to convert and to summarize functional data into a consistent, business-oriented format.
8. Pre-Computation of any derived information
9. Summarization is also carried out to pre-compute summaries and aggregate.
10. Makes data available in a query-able format.
Informatica ETL tool lets you to integrate the data in an easy way. Ides Trainings provides the best Informatica ETL course by our subject matter professionals in an informative & interactive way. Contacting our help desk for more information. We are aware of industry needs and we are offering Informatica ETL training in the more practical way. Register with us to get the best Informatica ETL training.
Frequently Asked Questions (FAQs)
1. Why should you learn Informatica ETL course?
By taking Informatica ETL course you will learn the following:
Precise and automate setup
Reducing the risks involved in acquiring latest technologies
Highly secured and trackable data
Self-owned and customizable access to the permission
Exclusive data disaster recovery, data monitoring and data maintenance and many more.
2. Will the student queries be solved by the trainers during the training?
Yes, the queries of the student will be solved by the trainers during the training sessions.
3. What jobs can you get by learning Informatica ETL?
By learning Informatica ETL, one can get the jobs as:
Informatica Application Developer
4. Which companies hire for Informatica ETL?
5. What is the salary of Informatica ETL?
The average salary of Informatica ETL professional is $137,662 per annum.