Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA

Serverless for data and AI

Avner Braverman (Binaris)
11:50am12:30pm Thursday, March 28, 2019
Average rating: ****.
(4.00, 3 ratings)

Who is this presentation for?

  • Data scientists, data engineers, architects, and CTOs

Level

Intermediate

Prerequisite knowledge

  • Familiarity with data processing (ETL, MapReduce) and streaming pipelines (fan-in, fan-out) as well as basic concepts of machine learning (training, inference, models, etc.)

What you'll learn

  • Understand the benefits of serverless, such as granular and elastic computing that enables simplified and efficient ways to deal with data

Description

Serverless computing has emerged as the simplest way for developers to run code in the cloud. Serverless platforms let developers break down their code into functions and deploy them directly to the cloud. Functions are then invoked and autoscaled in response to different events like HTTP requests or queued messages. Some of the major use cases for serverless are data transformation in batch and ETL scenarios and data processing using MapReduce patterns.

Avner Braverman explains how the elasticity and scale of serverless can revolutionize data processing and how functions can be used for cases like AI inference, model training, stream processing, and streaming pipelines. You’ll also learn how the ease of use of serverless can simplify data science and engineering by offloading the burden of managing infrastructure for data processing. Avner concludes by discussing recent advancements in serverless and demonstrating how breaking from performance and cost limitations enables large-scale real-time serverless data pipelines.

Photo of Avner Braverman

Avner Braverman

Binaris

Avner Braverman is cofounder and CEO of Binaris, building an applications optimized serverless platform. Avner’s full stack ranges from hardware architecture, through kernel design and up to JavaScript applications.
He’s been working with distributed operating systems since his school days. Previously, he cofounded XIV, a distributed storage company, Parallel Machines, and a high-performance analytics company.