Informatica Training in Chennai has opened up doors for better career
Informatica is one of the most used ETL tools, that is used to create data warehouse for quality date integration which in turn results in better and smooth business functioning. Here, ETL stands for Extract, Transform and Load. To meet the demands of the students, VKV Technologies have come along with the quality Informatica training in Chennai that ensures detailed training from the experienced faculties and placement assistance, as soon as the course gets over. The Informatica tool is specifically used to extract the source data from a system to load it to another after applying the changes needed. Numerous advantages of data warehousing is adhered with this software. This software helps in adopting the changing business needs with quality data warehousing. VKV Technologies, the best Informatica training institute in Chennai has make it sure that students gets the right training at the most affordable rate. With each passing day, more numbers of companies are adapting Informatica for the betterment of their business, which sets the right time for the students to enrol in the course. It is mandatory for the students to have a bachelor’s degree in any discipline to get enrolled in the courseInformatica Architecture

About The Trainer
An INFORMATICA professional with about 9 years of extensive experience on data warehousing projects from medium to large scale. Been actively involved in INFORMATICA corporate training, Freelance training, Online training, Classroom training within and outside my organizations for past 6+ years. WEAM is an initiative to provide high quality training on Informatica domain one on one basis. Priority is to give proper training.
- Given 2 week INFORMATICA training in MNC Company.
- Worked as INFORMATICA trainer at Private institutes in New Delhi (Applied Labs).
- Have provided 5 day corporate trainings in GOOD organizations
- Provided training of 4 days to client team at MNC.
- Involved in Online Training for Informatica.
- Understand and identify different Informatica Products
- Describe Informatica PowerCenter architecture & its different components
- Use PowerCenter 9.x components to build Mappings, Tasks, Workflows
- Describe the basic and advanced features functionalities of PowerCenter 9.X transformations
- Understand Workflow Task and job handling
- Describe Mapping Parameter and Variables
- Perform debugging, troubleshooting, error handling and recovery
- Learn to calculate cache requirement and implement session cache
- Execute performance tuning and Optimization
- Recognize and explain the functionalities of the Repository Manager tool.
- Identify how to handle services in the Administration Console
- Understand techniques of SCD, XML Processing, Partitioning, Constraint based loading and Incremental Aggregation
- Gain insight on ETL best practices using Informatica
- Software Developers
- Analytics Professionals
- BI/ETL/DW Professionals
- Mainframe developers and Architects
- Individual Contributors in the field of Enterprise Business Intelligence
- Analytic SQL for Informatica
- Data Warehousing Concepts
- Informatica PowerCenter 9.5.1
- Unix Shell Scripting
- Business Intelligence
- What is DWH?
- Characteristics of Datawarehouse
- Difference between OLTP and DWH
- Architecture of DWH
- Various BI tools
- Types of DWH
- Types of Dimensional Data Modeling
- Surrogate key
- Types of Dimension
- Informatica Power Center Client Tools
- Repository Manager
- Manage Folders
- Designer
- Source Analyzer
- Target Designer
- Mapping Designer
- Workflow Manager
- Task Developer
- Workflow Designer
- Workflow Monitor
- Workflow Log
- Session Log
- Types of View
- Classification
- Types of Ports
- Data Types
- Source Qualifier Transformation
- Creating Simple Pass through Mapping
- Apply Various Filter Conditions
- Specify sorted ports
- Eliminate Duplicate Values
- Creating Custom SQL Query
- Joining two or more tables
- Compare with Source Filter
- Types of Tracing Level
- Types of Flatfiles
- File Import Wizard
- Load data from Flat File to Database
- Load data from Database to Flat File
- Types of Ports
- Multiple Sorting
- Joining two heterogeneous sources
- Types of Joins
- Sorted input option
- Types of Ports
- Rank Index
- Rank and Dense rank
- cycle option
- Usage of Reset
- Use of Expression
- Usage of Variable Port
- IIF and Decode functions
- Informatica aggregate functions
- Sorted input option
- Types of Groups
- Group Conditions
- Types of Groups
- Types of Normalizer
- Transpose Columns to Rows
- Default Output Ports
- Connected Vs Unconnected Lookups
- Unconnected Procedure
- Lookup Caches
- Create a Sample Procedure
- DBA Script
- Create a Sample Procedure
- DBA Script
- Dynamic File Generation
- Type 1
- Type 2
- Type 3
- Create a Reusable Transformation
- Promoting Transformations
- Create a reusable Mappings
- Create a reusable Mappings
- Create a reusable Mappings
- Setting Connections
- Workflow variables
- Indirect loading
- Types of scheduling
- Time-based schedule
- Event -based schedule
- Copy from Folder
- Import and Export
- Course Objectives, Course Agenda and Class Account Information
- Describe the Schemas and Appendices used in the Lesson
- Overview of SQL*Plus Environment
- Overview of SQL Developer
- Overview of Analytic SQL
- Oracle Database SQL and Data Warehousing Documentation
- Generating Reports by Grouping Related Data
- Review of Group Functions
- Reviewing GROUP BY and HAVING Clause
- Using the ROLLUP and CUBE Operators
- Using the GROUPING Function
- Working with GROUPING SET Operators and Composite Columns
- Using Concatenated Groupings with Example Using Concatenated Groupings with Example
- Using Hierarchical Queries
- Sample Data from the EMPLOYEES Table
- Natural Tree Structure
- Hierarchical Queries: Syntax
- Walking the Tree: Specifying the Starting Point
- Walking the Tree: Specifying the Direction of the Query
- Using the WITH Clause
- Hierarchical Query Example: Using the CONNECT BY Clause
- Introducing Regular Expressions
- Using the Regular Expressions Functions and Conditions in SQL and PL/SQL
- Introducing Metacharacters
- Using Metacharacters with Regular Expressions
- Regular Expressions Functions and Conditions: Syntax
- Performing a Basic Search Using the REGEXP_LIKE Condition
- Finding Patterns Using the REGEXP_INSTR Function
- Extracting Substrings Using the REGEXP_SUBSTR Function
- Overview of SQL for Analysis and Reporting Functions
- Using Analytic Functions
- Using the Ranking Functions
- Using Reporting Functions
- Performing Pivoting Operations
- Using the PIVOT and UNPIVOT Clauses
- Pivoting on the QUARTER Column: Conceptual Example
- Performing Unpivoting Operations
- Using the UNPIVOT Clause Columns in an UNPIVOT Operation
- Creating a New Pivot Table: Example
- Row Pattern Navigation Operations
- Handling Empty Matches or Unmatched Rows
- Excluding Portions of the Pattern from the Output
- Expressing All Permutations
- Rules and Restrictions in Pattern Matching
- Examples of Pattern Matching
- Using the MODEL clause
- Demonstrating Cell and Range References
- Using the CV Function
- Using FOR Construct with IN List Operator, incremental values and Subqueries
- Using Analytic Functions in the SQL MODEL Clause
- Distinguishing Missing Cells from NULLs
- Using the UPDATE, UPSERT and UPSERT ALL Options
- Basic Unix commands
- General commands
- File and directory handling commands
- Filename generation characters
- I/O Redirection features
- Other commands
- What is a shell script?
- Development guidelines
- Creating and editing shell scripts
- Naming and storing shell scripts
- Executing shell scripts
- Exercise: Write a simple shell script
- Environment variables
- Local variables
- Assigning values to variables
- Assessing variable values
- Using quotes
- Delimiting variable names
- Echo control sequences
- Exercise: Add variables to a script
- Using the expr command
- Using the (( )) notation
- Exercise: Add integer arithmetic to a shell script
- The read command
- Command line arguments
- Exercise: Writing a generic shell script
- Exercise: Writing an interactive shell script
- The if statement
- The test command
- Other test notations
- Default and substitute variables
- Exit status codes
- Exercise: Adding validation to previous scripts
- The while loop
- The until loop
- The for loop
- The while true and until false loops
- Loop control commands
- Exercise: Enhancing the previously written scripts
- Exercise: Writing a guess-the-number game
- The case statement
- Menu driven applications
- Exercise: Developing and writing a menu system
- What is a function?
- Syntax
- Examples
- Exercise: Add a function to a script
- Interrupt signals
- Trapping interrupts
- Exercise: Adding traps to the menu script
- The exec commands
- The includes notation
- More about loops
- Arrays
- Here Documents
- Exercise: Create a here script
- The exec commands
- The includes notation
- More about loops
- Arrays
- Here Documents
- Exercise: Create a here script
- Training by Real Time Professionals
- Project Oriented Training
- Running Notes
- Flexible Timings
- Excellent Lab Facility
- Small Training Batch
- Certification Support