ODI Training in Chennai

Learn an advanced ETL cum ELT tool from experts in real-time to work on a live project or to leverage better opportunity in IT industry. Oracle Data Integrator provides a new declarative design(Interactive UI) approach to defining data transformation, integration and validation processes, resulting in faster(can handle huge data), simpler(Easy debugging) and cheaper(due to ELT, which is an exclusive part of ODI) development and maintenance of data warehousing.

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About Course

This course enables you to work in a real project implementing ODI (11g or 12c ) and how to build a data warehouse using different modules of ODI, how to transform and validate data from one form to another (files, XML, database etc). We customized this course curriculum to meet the current industry standards. We guarantee that even a Non-ETL participant having very little knowledge of database can learn ODI.

Course objectives

At end of this ODI training by Htop, you will be able to,

Learn ODI architecture and how its different from other ETL tools
Build master and Work Repositories.
Create Agent(ODI’s execution engine) and how to configure the agent to meet optimization.
Create different objects like Packages, Interface (Mapping), procedure, Models and variables to design a data transformation workflow.
Learn how to handle Exceptions in workflow through the customizable code and through rich ODI components like Load plans.
Customize view of ODI repositories for every user through its Security architecture.
How to implement physical and logical architecture and migrate the logical code from development to production environment.
Implementation of KMs for different technology and how to customize your own KM to meet the complex requirement.
Reverse Engineer metadata in ODI for different technology like RDBMS, Files, XML, excel etc.
Code optimization techniques to speed up the overall batch process and learns how ODI excels it.
Using customize java APIs in different objects of ODI to make code environment independent.
Implementation of CDC and SCD in ODI.
Learn new features provided in latest 12c version and how it integrates more advanced technology like Big data.

Who can learn this course?

ODI can be learned by anyone who wants to make his carrier in Data science as Data analyst.This training will be suitable for

Fresh Graduates
College / School Students
Job Seekers
Data Scientist works in ETL and reporting tool
Who are having good knowledge in Java

Job Opportunity

Many companies are now moving from other ETLs like Informatica, Datastage, Abnitio to ODI because of its capability of handling huge data in a faster and cost-effective manner. After this training, you will surely be able to handle interviews questions and can work on any live project implementing ODI.

Course Duration Information

This ODI training will happen for 25 hours. If you opt for weekend classes both Saturday and Sunday you will be having approximately 2 hours 30 mins in scheduled time of the batch you chose. If you opt for weekdays classes all Monday to Friday you need to spend at-least 90mins.

Course Syllabus

Oracle Data Integrator Overview

Traditional ETL vs ODI ELT
Business use cases
ODI Architecture
Installation overview

ODI Repositories And Agents

Creating Master and Work repositories
Administering repositories
Introduction to Repositories Metadata(SNP tables)
Agents and its configuration(Standalone Agent)

ODI Security and Topology

Custom profiles insecurity
Creating users with generic and non-generic profiles
Topology Configuration
Defining any new technology in Topology
Logical and Physical architecture
Setting data server and physical schema
Context and Agents
Defining Flexfields for objects

ODI Variables, functions and procedures

Types of variables
Use cases of variables in workflow
User-defined Functions
Native and user-defined sequences
ODI procedures
Global objects (variable,functions,procedures,sequences and KMs)

Knowledge Modules

Six different Types of knowledge Modules
Knowledge module customization w.r.t. to business use cases
Technology-specific KMs
A brief discussion of KM options and tasks
Introduction to Java APIs and their use cases inside KMs.
Creating your own customized KM
Multi-connection KM

Models and Constraints

Introduction to Models and Datastore
Defining ODI model w.r.t. Technology
Model creation through Common format designer
Reverse Engineering
Defining Datastore
ODI specific constraints on Datastore
Partitioning
Generating DDL scripts and Interface IN/OUT

Data Quality Control

Check Constraints
Static and Flow control
Recycle errors
Metadata tables for error diagnostics (SNP tables)

ELT vs ETL

Defining Staging Area
Use cases for defining staging area w.r.t. technology

ODI Operator

Monitoring Integration process
Debugging integration Session and tasks
Restart mechanism
ODI job scheduling
ODI logs and log purge

Packages, Load plans, and Scenarios

Introduction to package workflow
Synchronous and Asynchronous Run
Creating Scenarios for objects
Dynamic value binding in Scenarios
Business use cases for defining flow and scripting
Defining sequence of steps and running a package or scenario
Exception handling inside the package
Introduction to Load plans
Serial and parallel session execution in Load plans
Flow control and exceptional handling of Load plans

ODI Designer

Project and its components
Cross-references of objects in the designer navigator
Knowledge module Import
Markers and Memos
The scope of variables and other objects

Change Data Capture (CDC)

CDC overview and implementation
Static and consistent CDC
Trigger-based CDC
Golden gate CDC
Timestamp-based CDC
Journalizing Knowledge module(JKM)

Data warehousing

Data warehousing basics and overview
Datamart
Dimension and Facts
Star and snowflake schemas

Slowly Changing Dimension (SCD)

SCD overview
SCD type 1,2 and 3
SCD implementation of Models
Knowledge Module customization for SCD
Integration of dimension and facts table (end to end cycle)

Interface (Mapping)

Navigation and mapping editor
Mapping creation with multiple targets 12c
Defining LKM, IKM, and CKM inside mapping
Implementation of business logic inside mapping
Defining datasets and lookups
Physical and Logical mapping (12c)
Defining options inside KM
Temporary Interface (11g)
Reusable mapping (12c)
Data warehousing implementation using reusable mapping
Designing ETL vs ELT mapping

ODI components

Overview and implementation
Joins and filters
Aggregation (not available in 11g and its workaround)
Sets (UNION, UNION ALL, MINUS, INTERSECT)
PIVOT and UNPIVOT
Expression
Datasets
Split and sort
Lookup and Distinct

Code Migration

Different techniques for code migration
Smart import and Export
Unique internal Ids and GUID
Unique repositories IDs
Export and Import Hierarchy
Setting up a production environment

Working with Different Technologies

File and table transformations
XML transformations
Working with delimited and fixed file format

Version Controlling

Version controlling
Implementation versions of Solutions
Maintain versions with metadata
External code backup

ODI Tools Reference

Tools guide
Different file Tools
Object related tools
Execution tools
Tool Customization

ODI through Web Services

Introduction to ODI web services
J2EE agent and its advantage
Data services
ODI console
Invoking third party web services
Managing Executions using web services

ODI Performance Tuning

Mapping optimization (data movement reduction)
Runtime optimization(Agent location)
Load balancing
Mapping loading stratagies.

Miscellaneous

Integration of Big data and Hadoop in ODI
Integration with NoSQL databases
Implementing Jython code in ODI procedures
Knowledge Module customization complex use cases
Implementation of Java Grovvy within ODI

For Online Training @ +91-9500020364

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