Scale By the Bay 2017 has ended

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Scale By the Bay 2017

Grishma Jena

IBM
Cognitive Software Engineer
San Francisco

gjena.github.io

Natural Language Processing, Machine Learning

8:00am

Breakfast + Great Coffee Functional

9:00am

Disorder & Tolerance in Distributed Systems at Scale Functional

9:50am

Turning a Relational RDBMS Table into a Spark Datasource Data

10:40am

Spark Datasets: why they aren't great and what could be done about it Reactive

11:10am

Scala DSL for ML Training Set Stratification Data

11:40am

Bringing Deep Learning into the Big Data Analytics: BigDL on Apache Spark Reactive

12:00pm

Unconference Unconference

12:20pm

Lunch Functional

1:10pm

Avoiding Spark Pitfalls at Scale Data

1:40pm

Satellite data monitoring for analytical models Data

2:10pm

Featran77 - Generic Feature Transformer for Data Pipelines Data

3:00pm

Real Time ML Pipelines in Multi-Tenant Environments Data

4:00pm

Scaling to Billions of Real-time Recommendations Daily Reactive

5:00pm

The Legends of Twitter and Beyond: Real-World Architectures at Scale Functional

6:00pm

Happy Hour Functional

6:30pm

Fireside Chat with Ben Hindman and Ian Downes: Mesos, Then and Now Reactive

8:00am

Breakfast + Great Coffee Functional

9:00am

Composable Parallel Processing in Apache Spark and Weld Functional

9:50am

Apache SystemML: State of the Project and Future Plans Data

10:40am

Serverless Tensorflow 1.0.0 on AWS. Wait what? Reactive

11:10am

Auto code generation using AI & Scala Macros Functional

11:40am

Fantastic ML apps and how to build them Data

12:20pm

Lunch Functional

1:10pm

VEGAS: The missing Matplotlib for Spark Data

1:40pm

Intelligent system optimizations Reactive

2:10pm

A Tale of Two Graph Engines on Spark: GraphFrames and TinkerPop OLAP Data

3:00pm

Continuous Delivery Principles for Machine Learning Data

4:00pm

Fireworks - lighting up the sky with millions of Sparks Data

5:00pm

Functional Programming for Machine Learning Functional

6:00pm

Happy Hour Functional

7:00pm

Fireside Chat with Evan Weaver and Boaz Avital: Storage, Then and Now Functional

8:00am

Breakfast + Great Coffee Functional

9:50am

Democratizing data with an internal data pipeline platform Data

10:40am

Deep distributed decision trees on Apache Spark Data

11:10am

Just enough DevOps for data scientists. Reactive

12:20pm

Lunch Functional