AWS Data PipelineAWS Data Pipeline
What is AWS Data Pipeline?
AWS Data Pipeline is a web service that provides a simple management system for data-driven workflows. Using AWS Data Pipeline, you define a pipeline composed of the “data sources” that contain your data, the “activities” or business logic such as EMR jobs or SQL queries, and the “schedule” on which your business logic executes. For example, you could define a job that, every hour, runs an Amazon Elastic MapReduce (Amazon EMR)–based analysis on that hour’s Amazon Simple Storage Service (Amazon S3) log data, loads the results into a relational database for future lookup, and then automatically sends you a daily summary email.
AWS Data Pipeline is a tool in the API Tools category of a tech stack.
Key Features
You can find (and use) a variety of popular AWS Data Pipeline tasks in the AWS Management Console’s template section.Hourly analysis of Amazon S3‐based log dataDaily replication of AmazonDynamoDB data to Amazon S3Periodic replication of on-premise JDBC database tables into RDS
AWS Data Pipeline Pros & Cons
Pros of AWS Data Pipeline
- ✓Easy to create DAG and execute it
Cons of AWS Data Pipeline
No cons listed yet.
AWS Data Pipeline Alternatives & Comparisons
What are some alternatives to AWS Data Pipeline?
Requests
It is an elegant and simple HTTP library for Python, built for human beings. It allows you to send HTTP/1.1 requests extremely easily. There’s no need to manually add query strings to your URLs, or to form-encode your POST data.
HTTP/2
It's focus is on performance; specifically, end-user perceived latency, network and server resource usage.
Embulk
It is an open-source bulk data loader that helps data transfer between various databases, storages, file formats, and cloud services.
