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53:19

Enabling Awesome Engineering Teams

Posted by Alexandre Freire  on  Mar 25, 2017 Posted by Alexandre Freire  on  Mar 25, 2017

Alexandre Freire discusses what his team has learned through experiments, from the very fundamentals of what a team needs to be successful to Modern Agile engineering techniques.

47:47

Stream Processing & Analytics with Flink @Uber

Posted by Danny Yuan  on  Mar 25, 2017 Posted by Danny Yuan  on  Mar 25, 2017

Danny Yuan discusses how Uber builds its next generation of stream processing system to support real-time analytics as well as complex event processing.

39:21

Demistifying DynamoDB Streams

Posted by Akshat Vig  on  Mar 25, 2017 Posted by Akshat Vig Khawaja Shams  on  Mar 25, 2017

Akshat Vig and Khawaja Shams discuss DynamoDB Streams and what it takes to build an ordered, highly available, durable, performant, and scalable replicated log stream.

51:04

How to Design and Develop in an Inclusive Way

Posted by Chris Bush  on  Mar 25, 2017 Posted by Chris Bush Molly Watt  on  Mar 25, 2017

Molly Watt and Chris Bush discuss designing for people with specific visual, auditory, cognitive and mobility needs, accessibility features and challenges for certain users engaging digital services.

43:24

Freeing the Whale: How to Fail at Scale

Posted by Oliver Gould  on  Mar 25, 2017 Posted by Oliver Gould  on  Mar 25, 2017

Oliver Gould discusses Finagle, a library providing a uniform model for handling failure at the communications layer, enabling Twitter to fail, safely and often.

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.

49:31

Data Cleansing and Understanding Best Practices

Posted by Casey Stella  on  Mar 23, 2017 Posted by Casey Stella  on  Mar 23, 2017

Casey Stella talks about discovering missing values, values with skewed distributions and likely errors within data, as well as a novel approach at finding data interconnectedness.

48:32

Predictability in ML Applications

Posted by Claudia Perlich  on  Mar 23, 2017 Posted by Claudia Perlich  on  Mar 23, 2017

Claudia Perlich presents scenarios in which the combination of different and highly informative features can have significantly negative overall impact on the usefulness of predictive modeling.

44:45

SQL Server on Linux: Will it Perform or Not?

Posted by Slava Oks  on  Mar 22, 2017 Posted by Slava Oks  on  Mar 22, 2017

Slava Oks talks about SQL Server’s history, high-level architecture and dives into core of I/O Manager, Memory Manager, and Scheduler. Topics include lessons learned and experiences behind the scenes.

44:34

Security War Stories: The Battle for the Internet of Things

Posted by Alasdair Allan  on  Mar 22, 2017 Posted by Alasdair Allan  on  Mar 22, 2017

Alasdair Allan discusses the security problems when building Internet of Things devices, and the underlying differences between the IoT and the digital Internet that drive those security issues.

19:41

Structuring Your Business for Agility

Posted by Phil Abernathy  on  Mar 21, 2017 Posted by Phil Abernathy  on  Mar 21, 2017

Phil Abernathy discusses why Agile practices are not enough, detailing why and how to restructure an organization to make it successful.

49:25

From Data Science to Production–Deploy, Scale, Enjoy

Posted by Sergii Khomenko  on  Mar 19, 2017 Posted by Sergii Khomenko  on  Mar 19, 2017

Sergii Khomenko introduces best practices in development, covers production deployments to the AWS stack, and using the serverless architecture for data applications.

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