AWS re:Invent 2014 | (BDT303) Construct ETL Pipeline w/ AWS Data Pipeline, Amazon EMR & Redshift
Published on Nov 18, 2014
An advantage to leveraging Amazon Web Services for your data processing and warehousing use cases is the number of services available to construct complex, automated architectures easily. Using AWS Data Pipeline, Amazon EMR, and Amazon Redshift, we show you how to build a fault-tolerant, highly available, and highly scalable ETL pipeline and data warehouse. Coursera will show how they built their pipeline, and share best practices from their architecture.
38:29
AWS re:Invent 2015 | (BDT404) Large-Scale ETL Data Flows w/AWS Data Pipeline & Dataduct
38:29
41:12
AWS re:Invent 2014 | (BDT303) Construct ETL Pipeline w/ AWS Data Pipeline, Amazon EMR & Redshift
41:12
45:56
Big Data Integration & Analytics Data Flows with AWS Data Pipeline (BDT207) | AWS re:Invent 2013
45:56