What Is AWS 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. With AWS Data Pipeline you can easily access data from the location where it is stored, transform & process it at scale, and efficiently transfer the results to AWS services such as Amazon S3, Amazon RDS, Amazon DynamoDB, and Amazon EMR. It allows you to create complex data processing workloads that are fault-tolerant, repeatable, and highly available.
What Is AWS Data Pipeline ?
Companies and associations are evolving through time and their growing phases resulting in various forms of data creation, transformation, and transfers. The process of gathering, testing verifying, and distributing data helps in the expansion of Organization advancements. Amazon Web Service (AWS) is the perfect platform for enlarging extensive access on a global scale. AWS Data pipeline is designed to accelerate data transfers from one source to a specified destination. Data operations like repetitive and continuous can be performed quickly at a lower cost by using data channels.
Table of Content
- What Is A Data Channel?
- Components of AWS Data Pipeline
- What Is AWS Data Pipeline?
- How Does A Data Pipeline Work?
- Why Do We Need A Data Pipeline?
- Accessing AWS Data Pipeline
- How To Create AWS Data Pipeline: A Step-By-Step Guide
- Pricing of AWS Data Pipeline
- Challenges Resolved With AWS Data Pipeline
- Benefits/Advantages of Data Pipeline
- Uses of AWS Data Pipeline
- Conclusion
- AWS Data Pipeline – FAQs’s