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Scale By the Bay 2019
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data
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Popular Events on Friday, November 15
#1
Kubernetes is a Platform Platform
#2
Rust and Scala, Sitting in a Tree….
#3
Lunch
#4
Unison, and why the codebase of the future is a purely functional data structure
#5
A Gentle Introduction to Comonads
#6
Hot Breakfast with Excellent Coffee
#7
In Types We Trust
#8
Change Data Capture in Distributed Systems
#9
What is Functional Reactive Programming?
#10
Maximizing Throughput and Scalability for Akka Streams
#11
Rsc: Scala Outlining for Distributed Compilation
#12
Panel: AI Product
#13
Taming complex webapps with Scala and React
#14
Netty 5: Lessons Learned
#15
Delta Lake: Open Source Reliability and Quality for Data Lakes
#16
Running Amok to Ignite a Documentation Revolution!
#17
Runtime Types at Crunchbase
#18
Reliable, High Scale Tensorflow Inference Pipelines at Twitter
#19
The Renaissance for Big Data and Parallelism with GraalVM
#20
Reliable Machine Learning
#21
Serverless Event-Driven Data Pipeline Platform
#22
GDPR Data Cleaner: Mutating Immutable Data
#23
Large Scale On-Demand Low-Latency Near Real-Time Predictions
#24
Next-generation frameworks for Large-scale Machine Learning
#25
Fast and scalable domain-specific knowledge graphs generation
#26
8 Keys for Successful Serverless Architectures
#27
Integrating React with Scala: delivering incremental value in a legacy Play web application
#28
Introduction to geospatial analysis for uninitiated SQL Data Engineer
#29
Human-Centric ML Infrastructure at Netflix
#30
Build Your Own ML Data Feedback Loop
#31
Weld: An Optimizing Runtime for High Performance Data Analytics
#32
Lessons Learnt Building Domain Specific NLP Pipelines
#33
Ludwig, a Code-Free Deep Learning Toolbox
#34
Moonshot Spark: serverless with GraalVM
#35
Discovering Your Model's Known Unknowns and Unknown Unknowns
#36
Linkerd and the Service Mesh
#37
machine learning and mobile
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