Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: Tutorials & Conference
San Jose, CA
GuruDharmateja Medasani

GuruDharmateja Medasani
Data Science Architect, Domino Data Lab

Guru Medasani is a Data Science Architect at Domino Data Lab. He helps small and large enterprises in building efficient machine learning pipelines. Previously he was a senior solutions architect at Cloudera, where he helped customers build big data platforms and leverage technologies like Apache Hadoop and Apache spark to solve complex business problems. Some of the business applications he’s worked on include applications for collecting, storing, and processing huge amounts of machine and sensor data, image processing applications on Hadoop, machine learning models to predict consumer demand, and tools to perform advanced analytics on large volumes of data stored in Hadoop.


1:50pm2:30pm Wednesday, March 7, 2018
Secondary topics:  Data Integration and Data Pipelines
Jordan Hambleton (Cloudera), GuruDharmateja Medasani (Domino Data Lab)
Average rating: ****.
(4.25, 4 ratings)
When Kafka stream processing pipelines fail, they can leave users panicked about data loss when restarting their application. Jordan Hambleton and Guru Medasani explain how offset management provides users the ability to restore the state of the stream throughout its lifecycle, deal with unexpected failure, and improve accuracy of results. Read more.