{"id":29782,"date":"2022-11-25T18:25:55","date_gmt":"2022-11-25T12:55:55","guid":{"rendered":"https:\/\/blazeclan.com\/automate-data-workflow-aws-data-pipeline\/"},"modified":"2023-03-17T11:27:40","modified_gmt":"2023-03-17T05:57:40","slug":"automate-data-workflow-aws-data-pipeline","status":"publish","type":"post","link":"https:\/\/blazeclan.com\/en-eu\/blog\/automate-data-workflow-aws-data-pipeline\/","title":{"rendered":"Automate your Data Workflow with AWS Data Pipeline"},"content":{"rendered":"
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courtesy: https<\/span>:\/\/<\/span>www<\/span>.<\/span>theregister<\/span>.<\/span>co<\/span>.<\/span>uk<\/span>\/<\/span>2012<\/span>\/<\/span>11<\/span>\/<\/span>29<\/span>\/<\/span>amazon<\/span>_<\/span>aws<\/span>_<\/span>ec2<\/span>_<\/span>update<\/span>_<\/span>data<\/span>_<\/span>pipeline<\/span>\/<\/span><\/a><\/p>\n

Organizations generate large amount of data, and require capabilities to move the data and process the data using various tools and services. Managing migration and processing of large amount of data frequently is a tedious activity, which requires high level of automation with continuous monitoring.<\/span><\/h2>\n

For example, an organization has multiple web servers deployed on premise and on Cloud, logs generated by these servers have to be processed periodically. Such an activity would require consolidation of log files from multiple different sources, put it into central location and then process it.<\/span><\/p>\n

Amazon Web Services data pipeline web services gives an easy, automated solution to move data from multiple sources both within AWS and outside AWS and transform data. Data pipeline is a highly scalable and fully managed service.<\/p>\n

AWS Data pipeline allows users to define a dependent chain of data sources and destinations with an option to create data processing activities called pipeline. The tasks within a pipeline can be scheduled to perform various activities of data movement and processing. In addition to scheduling, you can also have failure and retry options included in the data pipeline workflows.<\/p>\n

With AWS Data pipeline, it is fast and easy to provision pipelines to move and transform data, which saves development efforts and maintenance over heads.<\/p>\n

Functionality<\/h2>\n

While creating a pipeline, you need to create activities, data nodes, schedule and preconditions for activities.<\/p>\n

Activities are actions that data pipeline executes. Activities currently supported by data pipeline include:<\/p>\n