Amazon Data Pipeline
In today’s data-driven businesses, data quality is one of the most important factors to consider when moving data from one source to another. Only good and relevant analysis is possible if good data is supplied. This quality is influenced by a number of elements. Data corruption, delay, data source conflicts, and/or duplicate entries can all occur if the data flow is unsafe. These difficulties in magnitude and effect grow in tandem with the complexity of demand and the quantity of data sources. This is where Amazon Data Pipeline comes in.
We’ll show you how Amazon’s Data Pipeline makes life easier for businesses in this guide.
The below are the subjects we will discuss:
· What is Amazon Data Pipeline?
· Advantages of Amazon Data Pipeline
· Who is the Amazon Data Pipeline suitable for?
· Lots more
If you are ready to start.
Let’s get started.
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.
Advantages of Amazon Data Pipeline
· Reliable: AWS Data Pipeline is based on a fault-tolerant architecture that is distributed and highly available. If your activity logic or data sources fail, it will automatically retry the activity. It provides you failure messages via Amazon Simple Notification Service (Amazon SNS) if the failure persists.
· Easy to Use: Using a drag-and-drop console, you can quickly and easily create a pipeline. You don’t need to add any extra logic to utilize common preconditions because they’re integrated into the service.
· Flexible: You may use AWS Data Pipeline to take advantage of capabilities like scheduling, dependency tracking, and error handling. This means you can use Amazon EMR to perform tasks, query databases directly, and run custom apps on Amazon EC2 or in your own datacenter.
· Scalable: AWS Data Pipeline makes it simple to distribute work to a single computer or a group of machines, either serial or parallel. Processing a million files is as simple as processing a single file using this design.
· Low Cost: AWS Data Pipeline is a low-cost service that is invoiced on a monthly basis. You can use it for free as part of the AWS Free Usage program.
· Transparent: You have complete control over the resources that run your business logic, making it simple to improve and troubleshoot it. Full execution logs are sent to Amazon S3 automatically, providing you a permanent, full record of what happened in your pipeline.
Who is the Amazon Data Pipeline suitable for?
· If you have a lot of data or a lot of different data sources,
· If a separate data source needs to be held,
· If you need to analyze data in real time or with a lot of variables,
· If your information is available on the cloud.
Pricing of Amazon Data Pipeline
Customers’ AWS Data Pipeline rates vary depending on the area they use the service in, whether they run on premises or in the cloud, and how many preconditions and activities they utilize each month. AWS Data Pipeline comes with a free tier of service. For the first year, new subscribers enjoy three free low-frequency preconditioning sessions and five free low-frequency activities. These low-frequency activities and preconditioning sessions occur only once every day.
Amazon Data Pipeline FAQs
How is AWS Data Pipeline different from Amazon Simple Workflow Service?
While both services allow you to track your execution, handle retries and errors, and conduct arbitrary operations, AWS Data Pipeline is designed to help you with the stages that are prevalent in most data-driven processes. For example, actions may be executed only if their input data fulfills certain readiness requirements, data can be readily copied between multiple data stores, and chained transformations can be scheduled. Because of this narrow emphasis, Data Pipeline process definitions may be generated quickly and without coding or programming skills.
Does Data Pipeline supply any standard Activities?
Yes, AWS Data Pipeline has support built-in for the following tasks:
· CopyActivity: Transfer data between Amazon S3 and JDBC data sources, or execute a SQL query and copy the results to Amazon S3.
· HiveActivity: This activity makes it simple to run Hive queries.
· EMRActivity: With this activity, you may perform any Amazon EMR operation.
· ShellCommandActivity: You may use this activity to perform any Linux shell command or application.
How many pipelines can I create in AWS Data Pipeline?
Your account has a limit of 100 pipelines by default.
Are there limits on what I can put inside a single pipeline?
Each pipeline you construct can have up to 100 items by default.
Contributor: Musa Ozdem
