ETL Framework for Data Warehouse Environments (Udemy.com)
The non functional ETL requirements
Created by: Sid Inf
Produced in 2019
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.
- Data Sourcing, the different types of Data Sourcing possible in a Data Warehouse environment, different mechanisms in which the data sourcing can happen like the
Quality Score
Overall Score : 76 / 100
Course Description
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
Instructor Details
- 3.8 Rating
59 Reviews
Sid Inf
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
- Video Duration:
6.5h - Price: 11.99 Track Price 11.99 Track Price
- Provider: Udemy
- Year:
2019 - Language:
English - Certificate:
Yes
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