Cloud Computing: Deploying ETL into Cloud
The architecture and operation of a data pipeline in cloud is a very different exercise compared to setting up traditional on-prem ETL processes of the past.
Let’s dive deeper into the architectural patterns (and antipatterns) of cloud when it comes to setting up data processes. We’ll look at the technical considerations and some caveats you might encounter when building in cloud.
This will be a technically oriented session, basic knowledge of cloud products (VMs, Redshift, S3…) will help you fully benefit from the session.
Watch and learn about:
What it takes to set up a production data pipeline starting from zero – the cloud components to use and why (using an example in AWS)
We’ll show and explain an example architecture of a data pipeline in the cloud
Estimating costs and how to avoid overruns