ETL Architectures is an in-depth, technical course that teaches the concepts for designing and implementing the appropriate architectures to use in managing the extraction, transformation and loading (ETL) of data for:
High performance decision support environments (data warehouses, dimensional data marts, Operational Data Stores (ODS), etc)
Master Data Management hubs (Customer Data Integration (CDI), Product Information Management (PIM), etc)
General data integration (e.g. Service Oriented Architectures (SOA))
This course will review these architectures and concepts with the primary focus on the concepts and techniques that apply to various approaches to ETL. Participants will learn when to use certain techniques, based on their technical and business requirements. With hands-on workshops, attendees will study different ETL products and methodologies for implementation in today’s heterogeneous system environments.
Benefits To Your Company
By learning the best way to design ETL architectures, architects and ETL developers will be able to implement the appropriate tools and techniques to satisfy business requirements and relate them to the supporting data structures. They will:
Understand the concepts of extraction, transformation and loading in decision support systems, master data management systems, SOA environments.
Understand the various forms of data architectures and how to apply ETL techniques to these
Understand sophisticated techniques for more complicated ETL solutions (real-time, high volume, etc)
Construct ETL architectures that are flexible to support changing business and technical requirements
Learn about the most common ETL products and their strengths and weaknesses.
Who Should Attend
Data Warehouse Architects
Enterprise Architects (Data, Technical)
ETL Developers
Data Architects
Business Intelligence designers
Database designers
Database administrators (DBA)
What Makes This Certified Course Unique
This ICCP-certified course provides participants with practical, in-depth understanding of how to create appropriate ETL architectures for decision support and data integration solutions. Hands-on workshops throughout the course will reinforce the learning experience and provide the attendees with concrete results that can be utilized in their organizations.
Course Outline
Review common system architectures
Transaction Processing
Decision Support
Master Data Management
Service Oriented Architecture
ETL Concepts
General principles
Design and plan for reuse
Design for error handling
Design for performance
Design for maintainability
ETL Standards
ETL and Meta Data
ETL Tool Usage
ETL for Decision Support
ETL for the Data Warehouse
Data Sourcing / Changed Data Capture
Data Transport
Data Staging
Changed Data Determination
Loading normalized warehouse structures
ETL for the Data Mart
Surrogate key lookup and assignment
Slowly Changing Dimensions - Types 1,2, 3 & 6
Denormalization and impact on ETL
Populating “junk” dimensions using a Cartesian product
Aggregation
ETL for the ODS
Real/near time approaches
Data Modeling differences
Row level security
Closing the loop
ETL for Master Data Management (MDM) and Service Oriented Architectures (SOA)
Customer Data Integration (CDI)
Product Information Management (PIM)
Integrating ETL and SOA environments
Integrating ETL with Data Quality tools
Integration with OLTP systems
ETL Tools
Leading ETL tool vendors
ETL tool strengths / weaknesses
Choosing the correct ETL tool
High performance ETL
Indexing (b-tree, bitmap, join indexes, etc)
Forms of Parallelism
RDBMS tuning and ETL
Massively Parallel Processing (MPP) platforms vs. Symmetrical Multiprocessing (SMP) platforms
ETL query optimization
Workshop conclusion
Summary, additional exercises, sources for further reading, etc.
Standard Duration
3 days
To learn more about how EWSolutions can provide our World-Class Training for your company or to request a quote, please feel free to contact David Marco, our Director of Education at DMARCO@EWSOLUTIONS.COM or call him at 630.920.0005 ext. 103.
High performance decision support environments (data warehouses, dimensional data marts, Operational Data Stores (ODS), etc)
Master Data Management hubs (Customer Data Integration (CDI), Product Information Management (PIM), etc)
General data integration (e.g. Service Oriented Architectures (SOA))
This course will review these architectures and concepts with the primary focus on the concepts and techniques that apply to various approaches to ETL. Participants will learn when to use certain techniques, based on their technical and business requirements. With hands-on workshops, attendees will study different ETL products and methodologies for implementation in today’s heterogeneous system environments.
Benefits To Your Company
By learning the best way to design ETL architectures, architects and ETL developers will be able to implement the appropriate tools and techniques to satisfy business requirements and relate them to the supporting data structures. They will:
Understand the concepts of extraction, transformation and loading in decision support systems, master data management systems, SOA environments.
Understand the various forms of data architectures and how to apply ETL techniques to these
Understand sophisticated techniques for more complicated ETL solutions (real-time, high volume, etc)
Construct ETL architectures that are flexible to support changing business and technical requirements
Learn about the most common ETL products and their strengths and weaknesses.
Who Should Attend
Data Warehouse Architects
Enterprise Architects (Data, Technical)
ETL Developers
Data Architects
Business Intelligence designers
Database designers
Database administrators (DBA)
What Makes This Certified Course Unique
This ICCP-certified course provides participants with practical, in-depth understanding of how to create appropriate ETL architectures for decision support and data integration solutions. Hands-on workshops throughout the course will reinforce the learning experience and provide the attendees with concrete results that can be utilized in their organizations.
Course Outline
Review common system architectures
Transaction Processing
Decision Support
Master Data Management
Service Oriented Architecture
ETL Concepts
General principles
Design and plan for reuse
Design for error handling
Design for performance
Design for maintainability
ETL Standards
ETL and Meta Data
ETL Tool Usage
ETL for Decision Support
ETL for the Data Warehouse
Data Sourcing / Changed Data Capture
Data Transport
Data Staging
Changed Data Determination
Loading normalized warehouse structures
ETL for the Data Mart
Surrogate key lookup and assignment
Slowly Changing Dimensions - Types 1,2, 3 & 6
Denormalization and impact on ETL
Populating “junk” dimensions using a Cartesian product
Aggregation
ETL for the ODS
Real/near time approaches
Data Modeling differences
Row level security
Closing the loop
ETL for Master Data Management (MDM) and Service Oriented Architectures (SOA)
Customer Data Integration (CDI)
Product Information Management (PIM)
Integrating ETL and SOA environments
Integrating ETL with Data Quality tools
Integration with OLTP systems
ETL Tools
Leading ETL tool vendors
ETL tool strengths / weaknesses
Choosing the correct ETL tool
High performance ETL
Indexing (b-tree, bitmap, join indexes, etc)
Forms of Parallelism
RDBMS tuning and ETL
Massively Parallel Processing (MPP) platforms vs. Symmetrical Multiprocessing (SMP) platforms
ETL query optimization
Workshop conclusion
Summary, additional exercises, sources for further reading, etc.
Standard Duration
3 days
To learn more about how EWSolutions can provide our World-Class Training for your company or to request a quote, please feel free to contact David Marco, our Director of Education at DMARCO@EWSOLUTIONS.COM or call him at 630.920.0005 ext. 103.
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