November 22, 2019

241 words 2 mins read

Modern real-time streaming architectures

Modern real-time streaming architectures

Across diverse segments in industry, there has been a shift in focus from big data to fast data. Karthik Ramasamy, Sanjeev Kulkarni, Arun Kejariwal, and Sijie Guo walk you through state-of-the-art streaming architectures, streaming frameworks, and streaming algorithms, covering the typical challenges in modern real-time big data platforms and offering insights on how to address them.

Talk Title Modern real-time streaming architectures
Speakers Karthik Ramasamy (Streamlio), Sanjeev Kulkarni (Streamlio), Sijie Guo (StreamNative), Arun Kejariwal (Independent)
Conference Strata Data Conference
Conf Tag Big Data Expo
Location San Jose, California
Date March 6-8, 2018
URL Talk Page
Slides Talk Slides
Video

Across diverse segments in industry, there has been a shift in focus from big data to fast data, stemming, in part, from the deluge of high-velocity data streams as well as the need for instant data-driven insights, and there has been a proliferation of messaging and streaming frameworks that enterprises utilize to satisfy the needs of various applications. Drawing on their experience operating streaming systems at Twitter scale, Karthik Ramasamy, Sanjeev Kulkarni, Arun Kejariwal, and Sijie Guo walk you through state-of-the-art streaming architectures, streaming frameworks, and streaming algorithms, covering the typical challenges in modern real-time big data platforms and offering insights on how to address them. They also discuss how advances in technology might impact the streaming architectures and applications of the future. Along the way, they explore the interplay between storage and stream processing and speculate about future developments. Topics include:

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