AWS Big Data Blog
Author: James Sun
James Sun is a Solutions Architect with Amazon Web Services. James has over 15 years of experience in information technology. Prior to AWS, he held several senior technical positions at MapR, HP, NetApp, Yahoo and EMC. He holds a PhD degree from Stanford University.
Manage and process your big data workflows with Amazon MWAA and Amazon EMR on Amazon EKS
Many customers are gathering large amount of data, generated from different sources such as IoT devices, clickstream events from websites, and more. To efficiently extract insights from the data, you have to perform various transformations and apply different business logic on your data. These processes require complex workflow management to schedule jobs and manage dependencies […]
Accessing and visualizing external tables in an Apache Hive metastore with Amazon Athena and Amazon QuickSight
Many organizations have an Apache Hive metastore that stores the schemas for their data lake. You can use Amazon Athena due to its serverless nature; Athena makes it easy for anyone with SQL skills to quickly analyze large-scale datasets. You may also want to reliably query the rich datasets in the lake, with their schemas […]