Presented By O’Reilly and Cloudera
Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY
Madhusudan Tumma

Madhusudan Tumma
Director, IT Engineering, TIAA

Madhu Tumma is director of IT engineering at TIAA, where he focuses on database core services, engineering, infrastructure, operations, and strategy. Madhu has 25 years of experience working on various platforms and data technologies. Over his career, he has held senior IT positions at JPMorgan, Bear Stearns, AboveNet, and Merrill Lynch’s DAF Group (BOA). Madhu is the author/coauthor of three Oracle database management-related books as well as a speaker and subject-matter expert in cloud analytics, data privacy, server engineering, and database management.

Sessions

1:10pm–1:50pm Thursday, 09/13/2018
Quick, reliable, and cost-effective ways to operationalize big data apps (sponsored by Unravel)
Location: 1A 01/02
Shivnath Babu (Unravel Data Systems | Duke University), Madhusudan Tumma (TIAA)
Average rating: ****.
(4.00, 1 rating)
Operationalizing big data apps in a quick, reliable, and cost-effective manner remains a daunting task. Shivnath Babu and Madhusudan Tumma outline common problems and their causes and share best practices to find and fix these problems quickly and prevent such problems from happening in the first place. Read more.