Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK

Modern real-time streaming architectures

Arun Kejariwal (Independent), Karthik Ramasamy (Streamlio), Ivan Kelly (Streamlio)
9:0012:30 Tuesday, 22 May 2018
Average rating: ***..
(3.67, 3 ratings)

Who is this presentation for?

  • Software engineers and engineering managers

Prerequisite knowledge

  • A basic understanding of streaming systems, messaging systems, and storage systems (useful but not required)

Materials or downloads needed in advance

What you'll learn

  • Understand stream processing fundamental concepts
  • Explore the different types of streaming architectures along with their pros and cons

Description

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, Arun Kejariwal, and Ivan Kelly walk you through state-of-the-art streaming architectures, frameworks, and 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:

  • Basic requirements of stream processing
  • Streaming and one-pass algorithms
  • Different types of streaming architectures
  • An in-depth review of streaming frameworks
  • Deploying and operating stream processing applications
  • Lessons learned from building a real-time stack using Apache DistributedLog and
  • Heron at Twitter’s scale
Photo of Arun Kejariwal

Arun Kejariwal

Independent

Until recently, Arun Kejariwal was a statistical learning principal at Machine Zone (MZ), where he led a team of top-tier researchers and worked on research and development of novel techniques for install and click fraud detection and assessing the efficacy of TV campaigns and optimization of marketing campaigns. In addition, his team built novel methods for bot detection, intrusion detection, and real-time anomaly detection. Previously, Arun worked at Twitter, where he developed and open-sourced techniques for anomaly detection and breakout detection. His research includes the development of practical and statistically rigorous techniques and methodologies to deliver high-performance, availability, and scalability in large-scale distributed clusters. Some of the techniques he helped develop have been presented at international conferences and published in peer-reviewed journals.

Photo of Karthik Ramasamy

Karthik Ramasamy

Streamlio

Karthik Ramasamy is the cofounder of Streamlio, a company building next-generation real-time processing engines. Karthik has more than two decades of experience working in parallel databases, big data infrastructure, and networking. Previously, he was engineering manager and technical lead for real-time analytics at Twitter, where he was the cocreator of Heron; cofounded Locomatix, a company that specialized in real-time stream processing on Hadoop and Cassandra using SQL (acquired by Twitter); briefly worked on parallel query scheduling at Greenplum (acquired by EMC for more than $300M); and designed and delivered platforms, protocols, databases, and high-availability solutions for network routers at Juniper Networks. He is the author of several patents, publications, and one best-selling book, Network Routing: Algorithms, Protocols, and Architectures. Karthik holds a PhD in computer science from the University of Wisconsin-Madison with a focus on databases, where he worked extensively in parallel database systems, query processing, scale-out technologies, storage engines, and online analytical systems. Several of these research projects were spun out as a company later acquired by Teradata.

Photo of Ivan Kelly

Ivan Kelly

Streamlio

Ivan Kelly is a software engineer at Streamlio, a startup dedicated to providing a next-generation integrated real-time stream processing solution, based on Heron, Apache Pulsar (incubating), and Apache BookKeeper. Ivan has been active in Apache BookKeeper since its very early days as a project in Yahoo! Research Barcelona. Specializing in replicated logging and transaction processing, he is currently focused on Streamlio’s storage layer.

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Comments

patricia Fernandez-Lomana Rodriguez
21/05/2018 16:39 BST

It is not clear for me is this tutorial if this is a tutorial for developing or more architectural