AWS Data Pipeline (or Amazon Data Pipeline) is “infrastructure-as-a-service” web services that supports automating the logistics of the transport and transformation of data. It allows you to access your data where it’s stored so you can obtain more value from your data in downstream AWS services such as Amazon RDS, Amazon Athena, and Amazon Redshift.
What is AWS data pipeline, why it's important and how to get started with automated data pipelines when you don't have coding or engineering experience.
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Businesses with large data sets on their hands can rest a little easier tonight — at least if they’re Amazon Web Services subscribers.
Amazon this evening announced that AWS Lake Formation, a fully managed service that facilitates the building, securing, and management of data lakes, is now generally available.
Customers with instances in the US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Tokyo), and Europe (Ireland) regions can take advantage starting today.
“Our customers tell us that Amazon S3 is the ideal place to house their data lakes, which is why AWS hosts more data lakes than anyone else — with tens of thousands and growing every day.
They’ve also told us that they want it to be easier and faster to set up and manage their data lakes,” said vice president of databases, analytics, and machine learning at AWS Raju Gulabani.
“That’s why we built AWS Lake Formation, so customers can spend more time learning from their data and innovating, rather than wrestling that data into functioning data lakes.
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