Scale By the Bay 2018 has ended

Create Your Own Event

Scale By the Bay 2018

R

Royce

Hyperconnect
Data Engineer
Seoul, Korea

8:00am PST

Breakfast and Welcome Commons

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

FP for Data Science: For-Loops Considered Harmful data

11:10am PST

Making Spark ML Models Portable - Know Your Options data

11:40am PST

From Scala to ByteCode — a view of how Scala is implemented on top the JVM. functional

12:20pm PST

12:30pm PST

Unconference unconference

1:10pm PST

Monitoring AI with AI data

1:40pm PST

Connected Car Ecosystem: An Architectural Overview reactive

2:10pm PST

Evolution of GoPro's Data Platform data

2:30pm PST

A Reactive Fraud Monitoring Engine for Instant Payments reactive

3:00pm PST

Graal: How to use the new JVM JIT compiler in real life functional

3:45pm PST

Machine Learning on Source Code data

4:25pm PST

Inside NVIDIA’s AI infrastructure for self-driving cars data

5:10pm PST

Panel I: Thoughtful Software Engineering functional

6:00pm PST

Happy Hour I Commons

8:00am PST

Breakfast and Welcome Commons

9:00am PST

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

9:50am PST

Building a Contacts Graph from activity data data

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

12:00pm PST

Scaling Bayesian Experimentation reactive

12:30pm PST

1:10pm PST

High-performance functional bayesian inference in Scala data

1:40pm PST

Distinguishing features of production-quality data pipelines reactive

2:10pm PST

FiloDB: Real-time, In-Memory Time Series at Massive SMACK Scale data

3:00pm PST

Labels to Inference: A Continuous Sentiment Pipeline data

3:30pm PST

Scio data processing nirvana at Spotify data

3:40pm PST

Concurrency with Cats-effect functional

3:55pm PST

Structured Deep Learning with Probabilistic Neural Programs data

4:30pm PST

Stream Processing at Lyft with Flink and Beam reactive

5:10pm PST

Panel II: Data Engineering and AI functional

6:00pm PST

Happy Hour II Commons

8:00am PST

Breakfast and Welcome Commons

9:00am PST

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

9:50am PST

Effective Scala functional

10:40am PST

Structure and Interpretation of Stream Processing reactive

11:10am PST

Applied Machine Learning: a Netflix production data

11:40am PST

Hadoop Future in AI World data

12:20pm PST

1:10pm PST

Tensorflow and Swift data

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

3:45pm PST

Effects types in Scala - how to choose one functional

4:25pm PST

Classical Category Theory in Plain Scala functional

5:10pm PST

Panel III: Cloud, Edge, and Silver Lining functional