Scale By the Bay 2018 has ended

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Scale By the Bay 2018

Constantin Gonciulea

JPMorgan Chase
Distinguished Engineer

https://linkedin.com/in/logicalguess/

After doing math for most of my youth, at some point I switched to computing. I have mostly enjoyed doing application architecture, concurrent programming and distributed computing. Most recently I have turned back to math, or rather to a combination of math and computing by working in machine learning and quantum computing. I like using Scala because it allows turning abstractions into code in a very elegant way.

8:45am PST

Grand Welcome and Opening Remarks functional

9:00am PST

Opening Keynote: New Functional Constructs in Scala 3 functional

9:50am PST

Privacy-aware data science in Scala with monads and type level programming data

10:40am PST

Immutable APIs and mutable internals: a Scala design case study functional

11:10am PST

Transpiling GraphQL instead of writing customized server code functional

11:40am PST

Continuous ML Applications in Production data

1:40pm PST

Video Access-Log Processing with Apache Flink data

2:10pm PST

Programming the worldwide elastic supercomputer with Unison reactive

2:30pm PST

A Reactive Fraud Monitoring Engine for Instant Payments reactive

3:00pm PST

Down the Wabbit Hole data

5:10pm PST

Panel I: Thoughtful Software Engineering functional

9:00am PST

Keynote II: Kafka and the Rise of Event-Driven Microservices functional

9:50am PST

Fast Data pipelines with Akka Streams and Alpakka Kafka Connector reactive

10:40am PST

Graph-First Services Using GraphQL data

11:10am PST

Towards Typesafe Deep Learning in Scala data

11:30am PST

Using Akka Streams for Web-scale Data Ingestion reactive

11:50am PST

Enabling Big Data and Machine Learning for the Masses: Creating a Spark Platform for the Uninitiated data

1:10pm PST

High-performance functional bayesian inference in Scala data

2:10pm PST

Nelson: Functional programming in system design reactive

3:00pm PST

Play on Dotty: Design Patterns unlocked by Dotty in a Play look-alike demo project functional

3:55pm PST

Data Consistency Patterns in Cloud Native Applications reactive

4:30pm PST

Distributed Deep Learning with Horovod data

5:10pm PST

Panel II: Data Engineering and AI functional

9:00am PST

Keynote III: Mind Your State for Your State of Mind functional

9:50am PST

Introduction to Apache Spark with Frameless data Quantum Computing and You reactive

10:40am PST

Structure and Interpretation of Stream Processing reactive

1:10pm PST

Quantum Computing Modeling in Scala reactive

1:40pm PST

Journey of Building a Modern Data Prep Tool on Top of Apache Spark reactive

2:10pm PST

Deploying Kafka Streams Applications with Docker and Kubernetes reactive

3:00pm PST

MLflow: An open platform to simplify the machine learning lifecycle data

4:25pm PST

Reactive Microservice framework for Realtime Model Executions reactive

5:10pm PST

Panel III: Cloud, Edge, and Silver Lining functional