AWS Big Data Blog
Author: Nipun Chagari
Nipun Chagari is a Sr Manager, Solutions Architecture based in the Bay Area, CA. Nipun leads next generation cloud architectures and generative AI initiatives, providing technical advisory to enterprise customers. He helps organizations adopt Serverless technology to modernize applications and achieve business objectives. Apart from work, he enjoys volleyball, cooking and traveling with his family.
Trigger an AWS Glue DataBrew job based on an event generated from another DataBrew job
Organizations today have continuous incoming data, and analyzing this data in a timely fashion is becoming a common requirement for data analytics and machine learning (ML) use cases. As part of this, you need clean data in order to gain insights that can enable enterprises to get the most out of their data for business […]
Transform data and create dashboards using AWS Glue DataBrew and Tableau
Before you can create visuals and dashboards that convey useful information, you need to transform and prepare the underlying data. With AWS Glue DataBrew, you can now easily transform and prepare datasets from Amazon Simple Storage Service (Amazon S3), an Amazon Redshift data warehouse, Amazon Aurora, and other Amazon Relational Database Service (Amazon RDS) databases […]