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ETL Framework for Data Warehouse Environments (Udemy.com)

The non functional ETL requirements

3.9
608 reviews

Created by: Sid Inf

Last updated February 2021

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What you will learn

  • This course provides a high level approach to implement an ETL framework in typical Data Warehouse environments. This approach can be used for a new application that needs to design and implement ETL solution which is highly reusable with data loading, error handling, audit handling, job scheduling and re-start-ability features. This framework will help reduce time and increase quality due to high re-usability and design standards.
  • Metadata Categories, learn the commonly used types of metadata in a real time project and how these are different from the Business and Technical viewpoints.
  • ETL Framework process flow, the process flow and different activities which should be taken care during the ETL framework implementation from file (source data) validations, Exception handling and Audit Control.

How it compares

Against the other 388 rated Udemy courses in SQL on CourseDuck:

  • Rating3.9 out of 5higher than 3% of them
  • Reviews608#192 of 389 by number of reviews
  • Length6.6 hourslonger than 52% of them
  • Last updatedFebruary 2021earlier than 64% of them

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Course Description

This course provides a high level approach to implement an ETL framework in any typical Data Warehouse environments. The practical approaches can be used for a new application that needs to design and implement ETL solution which is highly reusable with different data loading strategies, error/exception handling, audit balance and control handling, a bit of job scheduling and the restartability features and also to any existing ETL implementations. For existing implementations this framework needs to be embedded into the existing environment, jobs and business requirements and it might also go to a level of redesigning the whole mapping/mapplets and the workflows (ETL jobs) from scratch, which is definitely a good decision considering the benefits for the environment with high re-usability and improved design standards.

This course is a combination of standard and practical approaches of designing and implementing a complete ETL solution which details the guidelines, standards, developer/architect checklist and the benefits of the reusable code. And, this course also teaches you the Best practices and standards to be followed in implementing ETL solution.

Though this course, covers the ETL design principles and solutions based on Informatica 10x, Oracle 11g, these can be incorporated to any of the ETL tools in the market like IBM DataStage, Pentaho, Talend, Ab-intio etc.

Multiple reusable code bundles from the marketplace, checklists and the material required to get started on UNIX for basic commands and Shell Scripting will be provided.
Who this course is for:
ETL Developers/AdministratorsETL Testing ProfessionalsData Architects and Data ModelersData Scientists and Big Data Experts who want to understand the practical Data Warehouse ProcessDatabase Administrators who want to explore the DWH/ETL/BI areasBI/ETL/DW Technology experts and Team LeadersSoftware Engineers who are already part of any Data Warehouse and Business Intelligence ProjectsSoftware Engineers from different technology background who want to explore the Data Warehouse and Business Intelligence development processMainframe developers who want to switch their carrier into the Data Warehouse streamFreshers/Engineering Graduates who are looking for placementsNon IT professionals who like to learn how data is handled in enterprises
Read More Beginner Beginner Level product length iconTime: 6.6h

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Instructor Details

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Business Intelligence Consultant and Trainer with 14+ years of extensive work experience on various client engagements. Delivered many large data warehousing projects and trained numerous professionals on business intelligence technologies. Extensively worked on all facets of data warehousing including requirement gathering, gap analysis, database design, data integration, data modeling, enterprise reporting, data analytics, data quality, data visualization, OLAP.
Has worked on broad range of business verticals and hold exceptional expertise on various ETL tools likeInformatica Powercenter, SSIS, ODI andIDQ, Data Virtualization, DVO,MDM.

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Reviews

3.9

608 ratings on Udemy

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Write a review

By Ram on 10/18/2020

very well articulated the content

By Rene Henriquez on 9/17/2020

Very informative

By arun karthik on 9/3/2020

Audio not clear , needs to be improved

By Hudzani Ramagwedzha on 6/24/2020

Precisely the additional information i needed. I wish i had come across this coarse long ago it would have save me in my previous job role of CoE ETL and Data Warehouse.

By Sandeep kumar on 6/7/2020

This is all about ETL with informatica. There is no course available of Ab initio ETL tool. I need help of Ab initio ETL tool for developer and admin end to end.

By Krishnaraj on 4/20/2020

voice is low, otherwise it was very useful

By Jashim Uddin on 4/15/2020

Information is not propagated correctly

By Anthony Harley on 4/14/2020

The subtitles are not precise and causing me confusion

By Keyu Chen on 4/2/2020

can't understand the terms without correct subtitle

By Sandeep Kumar on 3/17/2020

This course gave me in depth insight of a robust ETL framework. I liked the details mentioned in the course.

By Dimitri Liubynskyi on 1/26/2020

The beginning is good.

By Leticia Croffi on 1/25/2020

O ingls com sotaque indiano difcil de entender

Showing 12 of 59 reviews

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Overall Score : 78 / 100

ETL Framework for Data Warehouse Environments
Visit course on Udemy Write a review
  • Video Duration: icon 6.6h
  • Price: $59.99
  • Provider: icon Udemy
  • Updated: icon February 2021
  • Level: Beginner Beginner
  • Language: icon English
  • Certificate: icon Yes
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