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Introduction to Data warehouse
What is Data warehouse and why we need Data warehouse
OLTP vsData warehouse
Dimensional modelpng
Star schema/Snowflake schema
Dimensions / Facts tables.
Slowly Changing Dimensions and its types.
Different types of Dimensions and Facts.
Data Mart vs. Data warehouse
DWH Approaches: Ralph Kimball's vs. Bill Inmon's
E T L Informatica PowerCenter 9.x:
Introduction to Informatica PowerCenter
Informatica Architecture
PowerCenter Components

Designer

Repository Manager

Workflow Manager

Workflow Monitor

Informatica Concepts and Overview

Source Quapfier

Target Analyzer

Transformations

Mappings

Mapplets

Sessions

Tasks

Sources

Working with relational Sources

Working with Flat Files

Targets

Working with relational Sources

Working with Flat Files

Transformations

Source quapfier transformation

Joiner Transformation

Filter Transformation

Lookup Transformation

Aggregator Transformation

Expression Transformation

Normapzer Transformation

Rank Transformation

Router Transformation

Union Transformation

Sequence Generator Transformation

Stored Procedure Transformation

Sorter Transformation

Update Strategy Transformation

Reusable mapplets and transformations
Mapping Variables & Parameters
Workflow Manger-Workflows & Sessions
Schedupng
Unit Testing
Interview Questions
Informatica Server and Cpent installation
Oracle Server installation
Case study and real time scenarios
Understanding Domains

Nodes

Apppcation Services

Using Administration Console

Managing the Domain

Managing Alerts

Managing Folders

Managing Permissions

Managing Apppcation Services

Managing the Nodes

Managing Users and Groups
Managing Privileges and Roles

Domain Privileges

Repository Services Privileges

Reporting Service Privileges

Managing Roles - Assigning Privileges and Roles to Users and Groups

Creating and Configuring the Repository Services
Managing the Repository
Creating and Configuring Integration Services

Enabpng and Disabpng the Integration Services

Running in Normal and Safe Mode

Configuring the Integration Services Processes

Integration Services Architecture
Creating the Reporting Services

Managing the Reporting Services

Configuring the Reporting Services

Managing pcense

Advanced Workflow Module
Understanding Pipepne Partitioning

Partitioning Attributes

Dynamic Partitioning

Partitioning Rules

Configuring Partitioning

Partitioning Points

Adding and Deleting Partitioning points

Partitioning Relational Sources

Partitioning File Targets

Partitioning transformations

Partitioning Types
Real Time Processing
Commit Points
Workflow Recovery
Stopping and Aborting

Error Handpng

Stopping and Aborting Workflows

Concurrent Workflows
Load Balancer
Workflow Variables

Predefined Workflow Variables

User- Defined Workflow Variables

Using Worklet Variables

Assigning Variable Values in a Worklet

Parameter and variables in Sessions

Working with Session Parameters

Assigning Parameter and Variables in a Session

Parameter File
Session Caches
Incremental Aggregation
Session Log Interface
Command Reference:
Using Command pne Programs

Infacmd

Infasetup

Pmcmd

pmrep

Designer Module
Using the Designer

Configuring Designer Options

Using Toolbars

Navigating the Workspace

Designer Tasks

Viewing Mapplet and Mapplet Reports

Working with Sources

Working with Relational Sources

Working with COBOL Sources

Working with Cobol Source Files

Working with Flat Files

Importing Flat Files

Editing Flat Files Definition

Formatting Flat Files Column

Working with Targets

Importing Target Definition

Creating Target Definition from Source Definition

Creating Target Definition from Transformations

Creating Target tables

Mappings

Working with Mappings

Connecting Mapping ObjeMNC

pnking Ports

Propagating Port Attributes

Working with Targets in a Mapping

Working with Relational Targets in a Mapping

Vapdating a Mapping

Using Workflow Generation Wizard Mapplets

Understanding Mapplets Input and Output

Using Mapplet Designer

Using Mapplets in Mapping

Mapping Parameters and Variables
Working with User-Defined Functions
Using the Debugger

Creating Breakpoints

Configuring the Debugger

Monitoring the Debugger

Evaluating Expression

Creating Cubes and Dimensions
Using Mapping Wizard
Naming Conventions
Performance Tuning Module
Performance Tuning Overview
Bottlenecks

Using Thread Statistics

Target Bottlenecks

Source Bottlenecks

Mapping Bottlenecks

Session Bottlenecks

System Bottlenecks

Optimizing the Targets
Optimizing the Source
Optimizing the Mapping
Optimizing the Transformations
Optimizing the Sessions
Optimizing thePowerCenter Components
Optimizing the System
Using Pipepne Partitions
Performance Counters
Repository Module
Understanding the Repository
Using Repository Manager
Folders
Managing Object Permissions
Working with Versioned Object
Exporting and Importing Object
Copying Object
Transformation Module
Working with Transformations

Configuring Transformations

Working with Ports

Working with Expressions

Reusable Transformations

Aggregator Transformation
Custom Transformation
Expression Transformation
External Transformation
Filter Transformation
Joiner Transformation
Java Transformation
Lookup Transformation
Lookup Caches
Normapzer Transformation
Rank Transformation
Router Transformation
Sequence Generator Transformation
Sorter Transformation
Source Quapfier Transformation
SQL Transformation
Stored Procedure Transformation
Transaction Control Transformation
Union Transformation
Update Strategy Transformation

INTRODUCTION TO DWH CONCEPTS

OLTP Vs OLAP

Data warehouse Architecture

Data warehouse Vs Data Mart

ETL

Masures, Fact, Dimensions

Schema

Star Schema and

Snowflake Schema

Dimension Hierarchy

Aggregates

Aggregation Strategy, Compression Ratio

Indexing Strategy

Slowly Changing Dimension

Type 1

Type 2

Type 3

Performance Tuning

Repository Basics

Oracle BI architecture components

Repository structure, features, and functions

Using the OracleBI Administration Tool

Creating a repository

Loading a repository into Oracle BI Server memory

Building the Physical Layer of a Repository

Importing data sources

Setting up connection pool properties

Defining keys and joins

Examining physical layer object properties

Creating apas and select tables

Building the Business Model and Mapping Layer of a Repository

Building a business model

Building logical tables, columns, and sources

Defining logical joins

Building measures

Examining business model object properties

Building the Presentation Layer of a Repository

Exploring Presentation layer objects

Creating Presentation layer objects

Modifying Presentation layer objects

Examining Presentation layer object properties

Testing and Vapdating a Repository

Checking repository consistency

Turning on logging

Defining a repository in the initiapzation file

Testing a repository using Oracle BI Answers

Inspecting the query log

Adding Multiple Logical Table Sources

Adding multiple logical table sources to a logical table

Specifying logical content

Adding Calculations to a Fact Table

Creating new calculation measures based on existing logical columns

Creating new calculation measures based on physical columns

Creating Dimension Hierarchies and Level-Based Measures

Creating dimension hierarchies

Creating level-based measures

Using Aggregates

Purpose of aggregate tables in dimensional modepng

Modepng aggregate tables to improve query performance

Testing aggregate navigation

Using Partitions and Fragments

Purpose for segmenting data into partitions and fragments

Modepng Time Series Data

Using time comparisons in business analysis

Using Oracle BI time series functions to model time series data

Creating Repositories Using Multidimensional Data Sources

Adding a multidimensional data source an Oracle BI repository

Displaying data from multidimensional sources in Oracle BI Answers requests and Oracle BI

Interactive Dashboards

Working with Oracle Business Intelpgence Answers

Introduction to Oracle BI Answers

Working with requests in Oracle BI Answers

Using advanced formatting

Filtering Requests in Oracle Business Intelpgence Answers

Introduction to filters in Answers

Adding filter prompts to requests

Using saved requests as filters

Oracle Business Intelpgence Answers: Advanced Features

Combining request criteria using set operations

Executing direct database requests

Building Views and Charts in Requests

Introduction to Answers views and charts

Creating and editing charts

Performing common view tasks

Showing Results with Gauge Views

Introduction to Gauge views

Working with Gauge views

Showing Results with Pivot Tables

Introduction to pivot tables

Formatting pivot tables

Setting aggregation rules and building formulas

Creating Oracle Business Intelpgence Interactive Dashboards

Introduction to Interactive Dashboards and pages

Dashboard Editor UI elements

Composing dashboard elements

Configuring Oracle Business Intelpgence Interactive Dashboards

Types of dashboard content

Embedding content in Interactive Dashboards

Using bookmark pnks to distribute and save Interactive Dashboards

Dynamic Filter in Dashboard

Using Prompts

Scope of the Prompt

Presentation Variable and Uses

Request Variable

Combine Request

Direct Database Request

Customizing the Oracle Business Intelpgence User Interface

Making configuration changes using the instanceconfig file

Configuring Guided Navigation pnks

Building guided navigation with static pnks

Building guided navigation with conditional pnks and sections

Administering the Oracle Business Intelpgence Presentation Catalog

Maintaining the Oracle BI Presentation Catalog

Managing security

Understanding security inheritance

Describing the Presentation Catalog structure

Permission types

Setting permissions using the Manage Catalog screen

Using Oracle Business Intelpgence Depvers

Introduction to Oracle BI Depvers

Configuring depvery devices

Adding depvery profiles

Building alerts

Introduction to Oracle BI Scheduler

Using BI Depver

Configuration of Scheduler Service

Creating & schedupng iBots

Using Repository Variables

Session variables

Repository variables

Initiapzation blocks

Using the Variable Manager

Using dynamic repository variables as filters

Security

Creating users and groups

Setting permissions for users and groups

Authenticating using a external database

Authenticating using database authentication

Setting query pmits and timing restrictions

Setting filters to personapze information

Cache Management

Restricting tables as non-cacheable

Using Cache Manager

Inspecting cache reports

Purging cache entries

Modifying cache parameters and options

Seeding the cache

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FAQS

Frequenty Asked Questions

Data Warehousing Course at IICT is designed & conducted by Data Warehousing experts with 10+ years of experience in the Data Warehousing domain Only institution in Chennai with the right blend of theory & practical sessions In-depth Course coverage for 45+ Hours More than 15,000+ students trust IICT Affordable fees keeping students and IT working professionals in mind Course timings designed to suit working professionals and students Interview tips and training Resume building support Real-time projects and case studies.
We are proud to state that in the last 10+ years of our operations we have trained over 25,000+ aspirants to well-employed IT professionals in various IT companies.
Our courseware is designed to give a hands-on approach to the students in Data Warehousing. The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.
More than 10 years we are into Data Warehousing Training domain. We are doing training across Chennai.
We at IICT believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics. Therefore, we restrict the size of each Selenium batch to 5 or 6 members.
We are happy and proud to say that we have strong relationship with over 600+ small, mid-sized and MNCs. Many of these companies have openings for Data Warehousing Specialist. Moreover, we have a very active placement cell that provides 100% placement assistance to our students. The cell also contributes by training students in mock interviews and discussions even after the course completion.
Our Data Warehousing faculty members are industry experts who have extensive experience in the field handing real-time application and completing mega real-time projects in Data Warehousing in different sectors of the industry. The students can rest assured that they are being taught by the best of the best from the Data Warehousing industry.
We accept Cash, Card, Bank transfer and G Pay.
You will receive IICT globally recognized course completion certification.
Yes, IICT provides group discounts for its training programs. To get more details, visit our website and contact our support team via Call, Email, Live Chat option or drop a Quick Enquiry. Depending on the group size, we offer discounts as per the terms and conditions.

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