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Data Integration Fundamentals and Best Practices
Data Integration Fundamentals and Best Practices - online training course
 
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5-hour Online Course by Dave Wells
Single-user access license


Product Code: DI-01-A
UNAVAILABLE

Description Course Outline Exam Details
 

This course is currently being updated and will be available the second half of 2023.

Integrated data is at the heart of many business and technical disciplines today. Data warehousing, operational data integration, and master data management focus on integration as a key part of managing data as an asset. Business intelligence, performance management, and business analytics depend on integrated data to meet business requirements for management and decision-making information. Legacy system replacement, ERP implementation, and application integration all have integrated data dependencies. Integration is important, but it is challenging to understand data sources, select and apply integration techniques, and design and deliver integrated databases.

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This online training course discusses architectures, requirements, methods, roles and activities of data integration that can be applied to achieve successful data integration projects for a variety of applications and circumstances.

You will learn:
  • Fundamental concepts, principles, and terminology of data integration
  • Common methods of data integration with attention to techniques, timing, and integration process automation
  • How to perform the essential steps of data integration including requirements definition, data capture, data transformation, and data delivery
  • Data integration techniques and technologies including ETL, ELT, virtualization, and federation
  • Techniques for source-to-target mapping and data transformation
  • Roles, purpose, and variations of data integration architecture including architectural constructs for data warehousing, master data management, and operational data integration
  • Business and technical roles, responsibilities, knowledge, and skills that are central to data integration projects and processes
This course is geared towards:
  • Data integration architects, designers, and developers
  • Business intelligence practitioners, project managers, and architects
  • Data warehousing practitioners, project managers, and architects
  • MDM practitioners, project managers, and architects
  • ERP implementers and system integrators
  • Business subject experts and data subject experts with roles in data integration projects and processes

Average Customer Review: Average Customer Review: 4.5 of 5 4.5 of 5 Total Reviews: 7 Write a review.

  0 of 0 people found the following review helpful:
 
5 of 5 Course Review November 6, 2018
Reviewer: Pablo Teran  


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  0 of 0 people found the following review helpful:
 
4 of 5 Course Review December 20, 2016
Reviewer: Matt Chapman  
I would shorten the roles and resposibilities. I think that while useful it can be delivered in a much faster way to dive into the why or example situation to solidify the concepts.

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  0 of 0 people found the following review helpful:
 
5 of 5 Course Review February 2, 2016
Reviewer: Whitney Watson-Alimonda  
I think some slide notes in addition to the slides would be beneficial. There is a lot of information the instructor presents that is not always written on the actual slides and the notes could help to clarify the material when going back and reviewing.

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5 of 5 Course Review April 13, 2015
Reviewer: Christian Fischer from Germany  
The modules should be split into smaller chunks. It is difficult to absorb and digest the wealth of info of a 60 minutes module. Small questions after a module would help to repeast and focus on the key messages delivered.

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  0 of 0 people found the following review helpful:
 
5 of 5 Course Review March 4, 2015
Reviewer: Jeann Frias  
Redesign the roles and responsabilities module, some kind of tedious. For the other modules they are great.

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