AT&T's Migration of Billions of Events Processing from Hadoop to Databricks

Explore AT&T's strategic migration from Hadoop MapReduce to Databricks in this 39-minute conference talk. Discover how AT&T achieved significant cost and time efficiencies in big data processing for a network application. Learn about the comprehensive approach and industry best practices employed, including the conversion of Hadoop MapReduce jobs to Spark jobs on the Databricks Platform. Gain insights into the impressive outcomes, such as a 30% reduction in compute costs and more than halved execution time. Understand the transformative potential of cloud-native platforms and the value of adopting best practices in big data management. Presented by Akshay Sharma, Senior Solutions Consultant at Databricks, and Praveen Vemulapalli, Director of Technology at AT&T, this talk offers valuable lessons for organizations looking to optimize their big data processing and analytics capabilities.

AT&T's Migration of Billions of Events Processing From Hadoop