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Thursday
, November 12
cloud
6:30am •
Grand Welcome and Opening Remarks
6:45am •
Countdown to 3
8:00am •
C-chain: the Integration of 5G and real time Blockchain
8:45am •
Project Loom? Better Futures? What’s next for JVM concurrent programming
9:30am •
Scaling Databricks to Run Data and AI Workloads on Millions of VMs
10:45am •
Acting Lessons for Scala Engineers with Akka and ZIO
11:30am •
When the Only Way to Scale up, is to Scale Down
12:00pm •
Lunch break
12:30pm •
Will AI Kill Programming?
2:00pm •
Were Microservices a Huge Mistake?
3:15pm •
Apache Spark meets FIPS standard
4:15pm •
Ray: A System for High-performance, Distributed Machine Learning Applications
5:00pm •
Event Streaming with Kafka Streams
5:45pm •
Multi-language Runtime Environments for Smart Contract Execution
functional
8:00am •
Monocle 3: a peek into the future
8:45am •
Materialize Typeclasses with Magnolia
10:45am •
Reproducible Data Pipelines Using Controlled Effects
11:30am •
TypeScript - You'll Like It
3:15pm •
Query Planning in GraphQL
4:15pm •
Applicative: The Origin Story
5:00pm •
Functional implementation of Finger Trees in JavaScript
5:45pm •
A tour of String diagrams and Monoidal categories
hallway lunch
3:45pm •
afternoon break
prerecorded
5:00pm •
Enhancing Spark's Power with ZIO
Friday
, November 13
cloud
6:45am •
Second Day Opening Remarks
7:00am •
Spreading the JAMstack
7:45am •
How Micro-Service Patterns Change When the Database Is a Scalable API
8:30am •
Keynote: Apache Pulsar @ Splunk
9:30am •
Keynote: Next-generation frameworks for Large-scale AI
10:05am •
Cloudflow: Spark, Flink, and Akka Working together on Kubernetes
10:45am •
8 Lessons Learned from using Kafka with 1000 Scala microservices
11:30am •
Conquering All Stores with Gimel – A Unified Data Processing Platform
12:00pm •
Lunch break
12:30pm •
Programming Languages in the Era of the Cloud
1:45pm •
Rebuilding Twitter’s public API
2:30pm •
Cloud-Native Apache Spark: why and how to migrate your Spark pipelines to Kubernetes
3:15pm •
Optimizing Latency-Sensitive Queries for Presto at Facebook
3:45pm •
afternoon break
4:15pm •
Deploying a Modern Serverless Reactive Container to the Cloud
5:00pm •
The art of being resilient. How to handle failures gracefully in Distributed Systems.
5:45pm •
Getting Things Done in the Scala REPL
data
7:00am •
AIoT: Why now? And How To?
7:45am •
Put Your Machine Learning on Autopilot
10:05am •
Goku Flow: A Self-Service Data Pipeline Builder
10:45am •
Owned By Statistics: How Kubeflow & MLOps Can Help Secure Your ML Workloads
11:30am •
A Reinforcement Learning Framework in Scala 3
1:45pm •
Automate the boring ML stuff with pipelines
2:30pm •
Programming machine learning algorithms in hardware, sanely, using Haskell and Rust!
3:15pm •
Data Science in Scala with ScalaPy
4:15pm •
NLP text recommender system journey to automated training pipeline with Spark and Sagemaker
5:00pm •
State of the art natural language understanding at scale
5:45pm •
Smokey and the Multi-Armed Bandit featuring BERT Reynolds
hallway coffee
12:00pm •
Netflix booth: AMA on Polynote
hallway lunch
11:00am •
Scalac booth: Exploring ZIO Prelude: The game-changer for typeclasses in Scala!
prerecorded
2:30pm •
Packaging & Deployment Options for Scala Applications / Services
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Scale By the Bay 2020
Nov 12
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13, 2020
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