Informatica Training In Adyar Chennai - GreensTechnology

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INFORMATICA TRAINING IN CHENNAIBest Institute for Informatica Training in Chennai provided by Real time working Experts....

  • Category: Language Classes
  • Published: 07/09/2014
  • Current Rating: /5 0 Vote

    Description

    INFORMATICA TRAINING IN CHENNAI


    Best Institute for Informatica Training in Chennai provided by Real time working Experts. Informatica Training, ETL Tool Training, Data Modeling Training, Informatica Training with real-world ETL process implementations organized in Informatica training classes. 
    Greens Technology in Adyar is the Best Informatica training institute in Chennai offers Hands-On Informatica courses in Chennai with Job Placement by ETL professionals having Informatica projects experience using ETL and Business Intelligence for more than 10 years. All our sessions are completely practical and interactive paired with Realtime Methodologies, Project Scenarios and Case studies exclusively on Informatica.


    INFORMATICA TRAINING COURSE CONTENT


    ANALYTIC SQL FOR DATA WAREHOUSING



    • 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


    Grouping and Aggregating Data Using SQL



    • 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


    Hierarchical Retrieval



    • 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


    Working with Regular Expressions



    • 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


    Analyzing and Reporting Data Using SQL



    • Overview of SQL for Analysis and Reporting Functions

    • Using Analytic Functions

    • Using the Ranking Functions

    • Using Reporting Functions


    Performing Pivoting and Unpivoting Operations



    • 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


    Pattern Matching using SQL



    • 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


    Modeling Data Using SQL



    • 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



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