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49:06

Building a Data Science Capability from Scratch

Posted by Victor Hu  on  Mar 23, 2017 Posted by Victor Hu  on  Mar 23, 2017

Victor Hu covers the challenges, both technical and cultural, of building a data science team and capability in a large, global company.

39:58

Incident Management at the Edge

Posted by Lisa Phillips  on  Feb 21, 2017 Posted by Lisa Phillips  on  Feb 21, 2017

Lisa Phillips discusses the typical struggles a company runs into when building around-the-clock incident operations and the things Fastly has put in place to make dealing with incidents easier.

40:48

Data Science in the Cloud @StitchFix

Posted by Stefan Krawczyk  on  Feb 17, 2017 Posted by Stefan Krawczyk  on  Feb 17, 2017

Stefan Krawczyk discusses how StitchFix used the cloud to enable over 80 data scientists to be productive and have easy access, covering prototyping, algorithms used, keeping schema in sync, etc.

45:26

Petabytes Scale Analytics Infrastructure @Netflix

Posted by Tom Gianos  on  Feb 15, 2017 Posted by Tom Gianos Dan Weeks  on  Feb 15, 2017

Tom Gianos and Dan Weeks discuss Netflix' overall big data platform architecture, focusing on Storage and Orchestration, and how they use Parquet on AWS S3 as their data warehouse storage layer.

01:02:53

Big Data in the Real World: Technology and Use Cases

Posted by Mike Olson  on  Feb 09, 2017 Posted by Mike Olson  on  Feb 09, 2017

Mike Olson presents several use cases where big data is collected and analyzed to gather insights from the automotive, insurance, financial, and other sectors.

38:49

Using Bayesian Optimization to Tune Machine Learning Models

Posted by Scott Clark  on  Feb 07, 2017 Posted by Scott Clark  on  Feb 07, 2017

Scott Clark introduces Bayesian Global Optimization as an efficient way to optimize ML model parameters, explaining the underlying techniques and comparing it to other standard methods.

32:49

Machine Learning and End-to-End Data Analysis Processes in Spark Using Python and R

Posted by Debraj GuhaThakurta  on  Feb 05, 2017 Posted by Debraj GuhaThakurta  on  Feb 05, 2017

Debraj GuhaThakurta discusses ML and data analysis processes in Spark using examples written in Python and R.

44:25

Keep Calm and Carry on: Scaling Your Org

Posted by Charity Majors  on  Feb 02, 2017 Posted by Charity Majors  on  Feb 02, 2017

Charity Majors talks about what it means to do quality operations and software engineering in the year 2016 and beyond, as well as the implications for engineering teams and social systems.

52:22

Autonomous Operations: Microservices, ML and AI

Posted by Rob Harrop  on  Feb 02, 2017 1 Posted by Rob Harrop  on  Feb 02, 2017 1

Rob Harrop discusses the increasing automated field of operations and what the future might hold when machine learning and AI techniques are brought to bear on the problem of systems operations.

44:06

Scaling the Data Infrastructure @Spotify

Posted by Mārtiņš Kalvāns  on  Jan 28, 2017 Posted by Mārtiņš Kalvāns Matti Pehrs  on  Jan 28, 2017

Mārtiņš Kalvāns and Matti Pehrs overview the Data Infrastructure at Spotify, diving into some of the data infrastructure components, such us Event Delivery, Datamon and Styx.

50:21

Scaling Counting Infrastructure @Quora

Posted by Chun-Ho Hung  on  Jan 22, 2017 Posted by Chun-Ho Hung Nikhil Garg  on  Jan 22, 2017

Chun-Ho Hung and Nikhil Garg discuss Quanta, Quora's counting system powering their high-volume near-real-time analytics, describing the architecture, design goals, constraints, and choices made.

01:07:28

Orchestrate All the Things! with Spring Cloud Data Flow

Posted by Eric Bottard  on  Jan 19, 2017 Posted by Eric Bottard Ilayaperumal Gopinathan  on  Jan 19, 2017

Eric Bottard and Ilayaperumal Gopinathan discuss easy composition of microservices with Spring Cloud Data Flow.

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