ETL Framework for Data Warehouse Environments

BY
Udemy

Mode

Online

Fees

₹ 2299

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based

Course and certificate fees

Fees information
₹ 2,299
certificate availability

Yes

certificate providing authority

Udemy

The syllabus

Getting Started

  • Introduction
  • What are we getting into?
  • Quick note on the commonly asked questions.
  • The Architecture which will be used for this course
  • Different stages of the Architecture

Metadata Categories

  • Business Metadata
  • Technical Metadata
  • Operational Metadata

ETL Framework - Process Flow

  • ETL Framework - The Process Flow

Data Sourcing

  • What is Data Sourcing?
  • What are the different events of Data Sourcing?
  • Scheduled Events
  • CDC - Change Data Capture Events
  • Pub - Sub Events
  • WebServices/API Events

Data Sourcing - Classification

  • Push and Pull
  • Architectural Classification

Scripts Requirements for Data Sourcing

  • What functionality should be part of the Scripts for Data Sourcing?

File Validation

  • File Validation Process
  • Post File Validation Steps
  • File Validation Failure Notifications

The Staging Layer

  • What is the need for a Staging layer?
  • What is Reference Data and Should it be stored in the Staging Layer?
  • Different Real time examples of Reference Data Set up and Usage.
  • Are Audit columns required for the Staging and Reference Data?
  • How many days of data should be stored in the staging area?
  • Do we need to set up the Partitions based on the Data Retention?
  • What kind of DB Standards should be followed for the Staging area setup?

Business Validation Layer

  • What is the the Business Validation Layer?
  • Different situations possible during the data processing at this layer
  • Indirect Data Load Porcess - Using Informatica
  • Concurrent Workflow Process
  • Partitions in Stage Layer and Business Validation Layer

Data Warehouse Layer

  • Dimension Load
  • Fact Load Process
  • Fact Partitions/ Fact Summary Load
  • Fact Summary Load
  • Source File Managment/Archival

Exception Handling/Error Handling

  • Data Model for Exception Handling
  • Error Category
  • Error Code
  • Different Solutions for Exception handling

Project Setup

  • Steps to download the sample project and the codebase
  • Importing and Creting the Database metadata and the sample data
  • Project explanation and aligning to the architecture
  • Review of the project and the code base

Extending the Operational Metadata's Data Model

  • Supporting Operational Metadata for Exception Handling
  • Additional tables required to support the Exception Handling
  • Why do we need so many tables?

Error Handing Data Model

  • System Stage Table
  • Data Source Metadata Table
  • Data Source Detail Table
  • Data Source System Table
  • Job Details Table
  • Changes to the Error Log Table

Mapping Example

  • Modify the existing mapping to load the wrong data into the ERROR_LOG Table
  • Other Possible ways of implemeting the Error handling
  • Using PMREP Tables for Error Handling

Audit Balance and Control

  • Metadata Management
  • Need for Operational Metadata
  • Different technical components involved for Audit Balance and Control
  • Table Structure for Audit Balance and Control
  • Structure of the Workflow with the re-usable sessions
  • RUN_ID, the Unique Attribute
  • The Re-usable Stored Procedure
  • Sequence Generator with Trigger
  • Workflow Setup
  • Assignments and What else is left?

Configuration Management

  • What is Configuration Management?
  • What are the different subject areas under Configuration Management?
  • Incident Management
  • Change Management
  • Release Management
  • Capacity Management
  • Service Level Management
  • Disaster Recovery and Availability Management

Instructors

Mr Sid Inf
Instructor
Freelancer

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