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Scale By the Bay 2019
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Popular Events on Thursday, November 14
#1
The Times Are A-Changin'
#2
Lunch
#3
Next-Level Diagnostics for Async & Concurrent Errors with ZIO
#4
Re-programming the programmer, from Actors to FP
#5
Panel: Who Needs Serverless?
#6
Serverless Scala - Functions as SuperDuperMicroServices
#7
Quill + Doobie = Better Together
#8
Hot Breakfast with Excellent Coffee
#9
Happy Hour
#10
Grand Welcome and Opening Remarks
#11
Recursion schemes with Higherkindness
#12
A brief introduction to systems programming, with Scala Native
#13
High Performance Serverless Functions in Scala
#14
How to Eliminate Surprises In Your Data
#15
Thank you, next: Iterators
#16
Enabling real time querying of Data using Apache Druid, Flink and Kafka
#17
Speedy Scala Builds at Databricks
#18
Apache Flink 2.0: Unified Enterprise Data Processing System and Beyond
#19
Functional Electromagnetism
#20
Metals - building rich IDE features beyond the Language Server Protocol
#21
Vectorized Query Processing for CPUs and GPUs using Apache Arrow
#22
Solving the Scala Notebook Experience
#23
Scaling Financial Automation on TypeBus
#24
To Spark or Not to Spark
#25
End-to-End ML Pipelines with KubeFlow and TensorFlow Extended (TFX)
#26
From datasets to tables in a multitenant data lake
#27
Everything old is new: today's infrastructure as yesterday's Internet
#28
Was He Wright All Along? Software After Moore's Law
#29
Scoring ONNX ML Models with Scala
#30
Deploy end to end ML pipeline using Apache spark streaming and kubernetes.
#31
Finding Needles In Big Data Haystacks using Finite State Machine
#32
Run Like a Boss in Cloud: How Istio and Kubernetes are Changing the Microservices Completely
#33
Integrating Developer Experiences - Build Server Protocol and beyond
#34
Dagster: a Framework for Data Processing Applications
#35
Swift for TensorFlow: Machine Learning with No Boundaries
#36
Growing the Scala Community
#37
Machine Learning's Missed Opportunity in Visual Data Management
#38
Hack Weekend: ML models on mobile
#39
Hacking F# in JS ecosystem
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