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IK
Indra Kumar uprade
Comcast
Software Engineer
indra.uprade@gmail.com
Thursday
, November 14
8:00am PST
Hot Breakfast with Excellent Coffee
9:00am PST
The Times Are A-Changin'
functional
9:40am PST
Enabling real time querying of Data using Apache Druid, Flink and Kafka
data
Functional Electromagnetism
functional
10:20am PST
How to Eliminate Surprises In Your Data
data
Thank you, next: Iterators
functional
Run Like a Boss in Cloud: How Istio and Kubernetes are Changing the Microservices Completely
reactive
11:00am PST
From datasets to tables in a multitenant data lake
data
Next-Level Diagnostics for Async & Concurrent Errors with ZIO
reactive
11:40am PST
Vectorized Query Processing for CPUs and GPUs using Apache Arrow
data
Recursion schemes with Higherkindness
functional
Integrating Developer Experiences - Build Server Protocol and beyond
reactive
12:10pm PST
Lunch
commons
1:00pm PST
Solving the Scala Notebook Experience
functional
High Performance Serverless Functions in Scala
reactive
1:40pm PST
A brief introduction to systems programming, with Scala Native
functional
2:20pm PST
End-to-End ML Pipelines with KubeFlow and TensorFlow Extended (TFX)
data
Quill + Doobie = Better Together
functional
Everything old is new: today's infrastructure as yesterday's Internet
reactive
3:00pm PST
Apache Flink 2.0: Unified Enterprise Data Processing System and Beyond
data
Speedy Scala Builds at Databricks
functional
To Spark or Not to Spark
reactive
3:40pm PST
Swift for TensorFlow: Machine Learning with No Boundaries
data
Serverless Scala - Functions as SuperDuperMicroServices
reactive
4:20pm PST
Re-programming the programmer, from Actors to FP
functional
Deploy end to end ML pipeline using Apache spark streaming and kubernetes.
reactive
5:00pm PST
Machine Learning's Missed Opportunity in Visual Data Management
data
5:40pm PST
Panel: Who Needs Serverless?
functional
6:30pm PST
Happy Hour
commons
Friday
, November 15
8:00am PST
Hot Breakfast with Excellent Coffee
9:40am PST
Human-Centric ML Infrastructure at Netflix
data
Unison, and why the codebase of the future is a purely functional data structure
functional
The Renaissance for Big Data and Parallelism with GraalVM
reactive
10:20am PST
machine learning and mobile
data
Change Data Capture in Distributed Systems
reactive
11:00am PST
Ludwig, a Code-Free Deep Learning Toolbox
data
Rsc: Scala Outlining for Distributed Compilation
functional
Delta Lake: Open Source Reliability and Quality for Data Lakes
reactive
11:40am PST
Weld: An Optimizing Runtime for High Performance Data Analytics
data
12:10pm PST
Lunch
commons
1:00pm PST
Rust and Scala, Sitting in a Tree….
functional
1:40pm PST
Introduction to geospatial analysis for uninitiated SQL Data Engineer
data
Reliable Machine Learning
reactive
2:20pm PST
Large Scale On-Demand Low-Latency Near Real-Time Predictions
data
Taming complex webapps with Scala and React
functional
Fast and scalable domain-specific knowledge graphs generation
reactive
3:00pm PST
Lessons Learnt Building Domain Specific NLP Pipelines
data
Integrating React with Scala: delivering incremental value in a legacy Play web application
reactive
3:40pm PST
Reliable, High Scale Tensorflow Inference Pipelines at Twitter
data
Running Amok to Ignite a Documentation Revolution!
functional
Serverless Event-Driven Data Pipeline Platform
reactive
4:20pm PST
Build Your Own ML Data Feedback Loop
data
GDPR Data Cleaner: Mutating Immutable Data
functional
Maximizing Throughput and Scalability for Akka Streams
reactive
5:40pm PST
Panel: AI Product
functional
Timezone
Scale By the Bay 2019
America/Los Angeles
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Scale By the Bay 2019
Nov 13
-
15, 2019
Wednesday
, November 13
Thursday
, November 14
Friday
, November 15
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San Francisco, CA, USA
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functional
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reactive
sharing meals with old and new friends
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lunch
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