How GE Deployed a Data Warehouse on AWS using Matillion ETL
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29.11.16 – 5110:36Популярные
Опубликовано 24 ноября 2016, 1:30
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Migrating on-premises data operations to the cloud can have tremendous benefits. However traditional data integration tools are not always able to handle extremely large data sets, the need for new data pipelines, and complex data transformations. Matillion ETL for Redshift, a fast, modern ETL/ELT tool, helps businesses migrate to the cloud quickly and easily by orchestrating data transfers into Amazon Redshift. Join us to learn how GE’s Power and Water Division used Matillion ETL for Redshift to extract, load, and transform billions of rows of data and implement their big data solution in record time.
Join us to learn:
• Find out what distinguishes Matillion’s approach to data transformation from other ETL/ELT tools
• Learn how to load and transform data quickly on Amazon Redshift
• Learn best practices for deploying a big data solution gleaned from GE’s experience with AWS and Matillion.
Who should attend:
VPs of Engineering, VPs of Development, Business Development Directors, Senior Development Managers, Senior Architects, Data Architecture, Data Integration and Data Scientists
Migrating on-premises data operations to the cloud can have tremendous benefits. However traditional data integration tools are not always able to handle extremely large data sets, the need for new data pipelines, and complex data transformations. Matillion ETL for Redshift, a fast, modern ETL/ELT tool, helps businesses migrate to the cloud quickly and easily by orchestrating data transfers into Amazon Redshift. Join us to learn how GE’s Power and Water Division used Matillion ETL for Redshift to extract, load, and transform billions of rows of data and implement their big data solution in record time.
Join us to learn:
• Find out what distinguishes Matillion’s approach to data transformation from other ETL/ELT tools
• Learn how to load and transform data quickly on Amazon Redshift
• Learn best practices for deploying a big data solution gleaned from GE’s experience with AWS and Matillion.
Who should attend:
VPs of Engineering, VPs of Development, Business Development Directors, Senior Development Managers, Senior Architects, Data Architecture, Data Integration and Data Scientists
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