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Retrieving Data using the SQL SELECT Statement
� Capabilities of the SELECT statement
� Arithmetic expressions and NULL values in the SELECT statement
� Column aliases
� Use of concatenation operator, literal character strings, alternative quote operator, and theDISTINCT keyword
� Use of the DESCRIBE command
Restricting and Sorting Data
� Limiting the Rows
� Rules of precedence for operators in an expression
Using Single-Row Functions to Customize Output
� Describe the differences between single row and multiple row functions
� Manipulate strings with character function in the SELECT and WHERE clauses
� Manipulate numbers with the ROUND, TRUNC and MOD functions
� Perform arithmetic with date data
� Manipulate dates with the date functions
Using Conversion Functions and Conditional Expressions
� Describe implicit and explicit data type conversion
� Use the TO_CHAR, TO_NUMBER, and TO_DATE conversion functions
� Nest multiple functions
� Apply the NVL, NULLIF, and COALESCE functions to data
� Use conditional IF THEN ELSE logic in a SELECT statement
Reporting Aggregated Data Using the Group Functions
� Group Functions
� Creating Groups of Data
� Restricting Group Results
Displaying Data from Multiple Tables Using Joins
� Introduction to JOINS
� Types of Joins
Using Sub queries to Solve Queries
� Introduction to Subqueries
� Single Row Subqueries
� Multiple Row Subqueries
Using the SET Operators
� Set Operators
� UNION and UNION ALL operator
� INTERSECT operator
� MINUS operator
� Matching the SELECT statements
� Using ORDER BY clause in set operations
Managing Tables using DML statements
� Data Manipulation Language
� Database Transactions
Introduction to Data Definition Language
� Data Definition Language
Introduction to Data Dictionary Views
� Introduction to Data Dictionary
� Describe the Data Dictionary Structure
� Using the Data Dictionary Views
� Querying the Data Dictionary Views
Creating Sequences, Synonyms, Indexes
� Overview of sequences
� Overview of synonyms
� Overview of indexes
Creating Views
� Overview of views
Retrieving Data by Using Sub queries
� Retrieving Data by Using a Subquery as Source
� Working with Multiple-Column subqueries
� Using Scalar subqueries in SQL
� Correlated Subqueries
� Working with the WITH clause
� Analytical Functions
PL/SQL
� Introduction to Oracle PL/SQL
� Cursors and Explicit Cursors
� Handling Exceptions
� Creating Procedures
� Creating Functions
� Creating Packages
� Dynamic SQL
� Partitioning
UNIX
� Introduction of UNIX
� Basic UNIX Commands
� What is Shell Script
� Creating Simple Shell scripts
� Executing Simple shell scripts
Understanding Legacy/ERP/CRM Systems
� Types of Data (Structured/Un-structured/Hierarchy)
� Various ERP systems
� Various Cloud Applications
� Various MDM source systems
DATAWAREHOUSE BASICS
� What is Datawarehouse?
� What is Business Intelligence?
� Online Transaction Processing System (OLTP)
� OLTP Vs Datawarehouse (OLAP)
DATA MODELING
� What is data Model?
� E-R Modeling
� Dimensional Modeling
� Dimension table
� Fact Table
� SURROGATE KEY
� SCD Type 1
� SCD Type 2
� SCD Type 3
� Types Measures or Facts or Metrics
� What is Schema?
� STAR Schema
� SNOWFLAKE SCHEMA
Informatica Master Data Management (MDM) 9.5.1
Introduction
� Describe the terms Master Data, Master Data Management, Golden Record etc
� Introduction to Informatica MDM Hub
� Identify the components of Informatica MDM Multidomain Edition
� Describe the batch data process flow
� Discuss the Trust Framework
� Describe consolidation flag values
� Describe the activities involved in the BUILD phase of an Informatica MDM Multidomain Editionimplementation
� Open and navigate the console
Define the Data Model
� Training Environment Overview
ÿ Source Systems
� Data Model Elements
ÿ Landing Tables
ÿ Staging Table
ÿ Base Objects
ÿ Dependent Object
� Use the Schema tool to configure a consolidated data model, including relationships
� Data Model for This Course
� Relationships
� Lookups
� Global Business Identifier (GBID) Flag
Configure the Stage Process
� Configure landing and staging tables
� Basic Mapping
� Use cleanse functions, constants
� Pre-Defined Functions
� Logic Functions
� Math Functions
� Misc Functions
� Graph Functions
� Cleanse Lists
� Conditional execution components
� Re-usable cleanse components
� Build mappings
� Complex Mappings
� Test mappings and run staging jobs
Understanding Address Doctor
� Accessing External Cleanse Applications
� Address Cleansing with Address Doctor
� Address Cleansing with Trillium
� Address Cleansing with First Logic
� Configure delta detection and audit trail settings
� Delta Detection
� Audit Trail
� Previous Landing Table
� Rejects
� Describe the logic flow of the staging process
Configure the Load Process
� Configure Trust Rules
� Create Validation Rules
� Switch on staging table properties that affect the LOAD job
� Run LOAD jobs
� Describe the LOAD process flow
Configure the Match & Merge Process
� Define match columns for fuzzy and exact match
� Define match rules
� Configure merge settings
� Investigate match key distributions
� Discuss additional options for match such as primary key matching and external match
Configure Data Access Views
� Create queries for update purposes
� Create queries for read-only purposes
� Create packages
Batch Processes
� Batch Viewer
� Configure batch groups
� Execute batch jobs from Batches tool or Batch Groups tool
� Understand how to execute jobs by calling a stored procedure
� Query and understand job status
Data Management Tools
� Use the Merge manager tool to review and take action on records queued for merge
� Merge records, flag them as unique, manually search for matched records, edit records
� Use the Data Manager tool to view and take action on any records in base object
� Search for records, edit records, and unmerge records
User Objects
� Use the User Object Registry tool to view custom objects registered in the metadata
� Understand what users exits are
� Identify user exits for the Stage, Load, Match, Merge
� Unmerge processes as well as other user exits
Log Files
� View environmental properties and change log file settings in Enterprise Manager
� Find the various log files created by the system
� Enterprise Manager
� Hub Server Tab
� Cleanse Servers Tab
� Environment Report Tab
� ORS Databases Tab
� Database Log File
� Application Server Log
� Cleanse/Match Server Logs
� Console Log
Hierarchy Management
� Entities & Entity Type
� H M Relationships
� H M Hierarchies
� Hierarchy Management and
� H M Profiles
� H M
Security Access Manager (SAM)
� Users, Resources, Privileges & Roles
� Resources
� Resource Groups
� Privileges
� Roles
SIF (INTEGRATION FRAMEWORK)
� Introduction to Siperian SIF
� SIF Framework SIF Features & Benefits
� SIF & Integration
� Interacting with SIF
� SIF Architecture & Protocols
� SIF Request Object with Examples
� Processing Responses
� About Record
� SIF APIs with Examples
� ORS Specific APIs
� Introduction to SIF Manager
� Using JMS -Inbound & Outbound
� Logging
� Auditing
INFORMATICA DATA DIRECTOR
� Business Data Director � User Interface
� Create, Manage, Consume And Monitor
� Data Model Elements
� Configuration File
� Subject Area
� Subject Area Groups
� BDD Data Display
� Relationships
MDM Project Life Cycle
� Migration Process to Higher Environments
� Informatica MDM Upgrade
� Informatica MDM Project Life Cycle
� Business Requirement Document
� Design Documents
� Unit Testing, Test Cases
� Interview Preparation