Overview

What is AWS Data Pipeline?

AWS Data Pipeline is a web service used to process and move data between different AWS compute and storage services, as well as on-premises data sources, at specified intervals. With AWS Data Pipeline, users can regularly access data where it’s…

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AWS Data Pipeline - Data engineer's time saver

Rating: 10 out of 10

April 20, 2023

IncentivizedVetted ReviewVerified User

We are using AWS data pipeline to create data flows to extract, transform and load data to redshift, Basically creating ETL job flows using AWS data pipeline. It is helping da...

Vaibhav Wadikar

Engineer - Engineering

Data Engineer

Innova Solutions

1 year of experience

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Product Demos

AWS Data Pipeline Tutorial | AWS Tutorial For Beginners | AWS Certification Training | Edureka

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AWS Tutorial for Beginners - AWS Crash Course | Learn AWS in 5 Hours | AWS Training | Edureka

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Product Details

About
Tech Details

What is AWS Data Pipeline?

AWS Data Pipeline Technical Details

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AWS Data Pipeline - Data engineer's time saver

Rating: 10 out of 10

Incentivized

April 20, 2023

VW

Vaibhav Wadikar

Data Engineer

Innova Solutions (Hospital & Health Care, 501-1000 employees)

Vetted Review

Verified User

1 year of experience

View profile

Use Cases and Deployment Scope

We are using AWS data pipeline to create data flows to extract, transform and load data to redshift, Basically creating ETL job flows using AWS data pipeline. It is helping data engineers to effectively and quickly create and manage complex data processing flows.

Pros and Cons

Helps you easily create complex data processing workloads
Fault tolerant
Highly available

Likelihood to Recommend

AWS Data Pipeline is a web service that helps you reliably process and move data between different AWS compute and storage services, as well as on-premises data sources, at specified intervals. With AWS Data Pipeline, you can regularly access your data where it’s stored, transform and process it at scale, and efficiently transfer the results to AWS services such as Amazon S3, Amazon RDS, Amazon DynamoDB, and Amazon EMR.