What is Amazon Data Pipeline? Amazon Data Pipeline is a web service that enables you to process and transport data across AWS computing and storage services, as well as on-premises data sources, in a reliable manner. It automates the extraction, transformation, combination, validation, and uploading of data for further analysis and display. It can handle many data streams at the same time and delivers end-to-end speed by removing mistakes or overcoming delays.

1. AMAZON
DATA
PIPELINE
ELIF NURBER KARAKAS

2. WHAT IS DATA
PIPELINE?
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.

3. Reliable
Easy to Use
Flexible
Scalable
Low Cost
Transparent
BENEFITS OF
DATA PIPELINE

4. USE CASES
ETL Data to Amazon Redshift
ETL Unstructured Data
Load AWS Log Data to Amazon Redshift
Data Loads and Extracts
Move to Cloud
Amazon DynamoDB Backup and Recovery

5. PROS OF DATA PIPELINE
Simple to use control panel with predefined templates for most AWS databases.
Ability to spawn clusters and resources only when needed.
Ability to schedule jobs only on specific time periods.
Full security suite protecting data while in motion and rest. AWS’s access control
mechanism allows fine-grained control over who can use what.
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6. CONS OF
DATA PIPELINE
The data pipeline is designed for AWS services or in other words AWS world and hence
integrates well with all the AWS components. AWS Data Pipeline is not the right option if
you need to bring data from different third-party services.
Working with data pipeline and on-premise resources can be overwhelming with multiple
installations and configurations to be managed on the compute resources.
The data pipeline’s way of representing preconditions and branching logic can seem
complex to a beginner and to be honest, there are other tools out there that help to
accomplish complex chains more easily.
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7. THANK
YOU!
nurberelif@gmail.com