Sep 23–26, 2019
Deepak Majeti

Deepak Majeti
Systems Software Engineer, Vertica

Website

Deepak Majeti is a systems software engineer at Vertica. He is also an active contributor to Hadoop’s two most popular file formats: ORC and Parquet. His interests lie in getting the best from high-performance computing (HPC) and big data by building scalable, high-performance, and energy-efficient data analytics tools for modern computer architectures. Deepak holds a PhD in the HPC domain from Rice University.

Sessions

11:20am12:00pm Wednesday, September 25, 2019
Location: 1E 07/08
Secondary topics:  Cloud Platforms and SaaS, Data Management and Storage, Data, Analytics, and AI Architecture
Paige Roberts (Vertica), Deepak Majeti (Vertica)
a. Analytics experts, GoodData, needed to auto-recover from node failures and scale rapidly when workloads spike on their MPP database in the cloud. Kubernetes could solve that, but K8 is for stateless micro-services, not a stateful MPP database that needs 100s of containers. In order to merge the power of an MPP database with the flexibility of Kubernetes, a lot of hurdles had to be overcome. Read more.

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