Reenu
Saluja
Senior Software Engineer at Microsoft CSE
"Process large-scale data and computational function in serverless manner"
"Process large-scale data and computational function in serverless manner"
Wed June 9 - 6:10 AM EDT/New York (See in local time)
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05//2025 6:10 AM
05//2025 06:50 AM
America/New_York
#WTGC2025
"Process large-scale data and computational function in serverless manner"
#WTGC2025
"Process large-scale data and computational function in serverless manner"
https://www.womentech.net/ringcentral
https://www.womentech.net/ringcentral
"Process large-scale data and computational function in serverless manner"
"Process large-scale data and computational function in serverless manner"
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Session: Process large-scale data and computational function in serverless manner
There are challenges for large scale data processing which include analyzing rapidly growing data, getting data insights, calculating complex computational functions etc. During this session, we will discuss how these challenges can be addressed using serverless distributed data processing system with a demonstration.Key Takeaways
- calculating complex computational functions in a serverless system
- getting data insights serverless system
- analyzing rapidly growing data serverless system
Bio
Reenu is a subject matter expert in the evolving landscape of enterprise analytics and is a Senior Software Engineer with the Commercial Software Engineering (CSE) team at Microsoft and. CSE is a global engineering organization that works directly with the largest companies and not-for-profits in the world to tackle their most significant technical challenges. She has been an industry expert for over 14 years, with certifications such as TOGAF, PMP, Six Sigma Yellow Belt, ECM, and Azure Architecture. She has been an avid teacher and sharer, speaking in many conferences such as OSI 2020, JSFOO, GIDS 2019, Bitcoin and Blockchain Conference 2018, Bengaluru, IoT Expo 2018, Delhi, Open Source India Conference 2017, Global Blockchain Conference Delhi 2017 to name a few.