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31:03

TensorFlow: A Flexible, Scalable & Portable System

Posted by Rajat Monga  on  Dec 17, 2016 Posted by Rajat Monga  on  Dec 17, 2016

Rajat Monga talks about why Google built TensorFlow, an open source software library for numerical computation using data flow graphs, and what were some of the technical challenges in building it.

50:31

Visual Rules of the Road for Big Data Practitioners

Posted by David Fisher  on  Dec 16, 2016 Posted by David Fisher  on  Dec 16, 2016

David Fisher discusses via example how to build a data navigation language into visualizations, providing an intuitive user experience via the mechanism of subtle visual cuing.

43:42

In-Memory Caching: Curb Tail Latency with Pelikan

Posted by Yao Yue  on  Dec 13, 2016 Posted by Yao Yue  on  Dec 13, 2016

Yao Yue introduces Pelikan, a framework to implement distributed caches such as Memcached and Redis.

49:53

How Slack Works

Posted by Keith Adams  on  Dec 09, 2016 Posted by Keith Adams  on  Dec 09, 2016

Keith Adams tours Slack's infrastructure from clients into the Slack datacenter, and around the various services that provide real-time messaging, search, voice calls, and custom emoji.

53:13

Mastering Chaos - A Netflix Guide to Microservices

Posted by Josh Evans  on  Dec 07, 2016 Posted by Josh Evans  on  Dec 07, 2016

Josh Evans talks about the chaotic and vibrant world of microservices at Netflix, exploring the cultural, architectural, and operational methods that lead to microservice mastery.

25:32

Validation Methodology of Large Unstructured Unsupervised Learning Systems

Posted by Lawrence Chernin  on  Nov 26, 2016 Posted by Lawrence Chernin  on  Nov 26, 2016

Lawrence Chernin describes best practices and validation methods used to deal with large unstructured data, including a suite of unit tests covering the implementations of algorithmic equations.

34:47

How Predictive Analytics Boosts the Customer Experience at the Georgia Aquarium

Posted by Beach Clark  on  Nov 20, 2016 Posted by Beach Clark  on  Nov 20, 2016

Beach Clark talks about the technological and cultural challenges of turning data science into a vital part of the business model at Georgia Aquarium.

43:27

Overview of Artificial Intelligence and Its Use in Analyzing “Voice of Cancer Patients”

Posted by Alok Aggarwal  on  Nov 20, 2016 Posted by Alok Aggarwal  on  Nov 20, 2016

Alok Aggarwal overviews Artificial Intelligence and discusses a use case, “Voice of Cancer Patients” that uses ML and NLP algorithms to analyze unstructured text written by cancer patients.

28:39

Leadership Election with Spring Cloud Cluster

Posted by Dave Syer  on  Nov 15, 2016 1 Posted by Dave Syer  on  Nov 15, 2016 1

Dave Syer shows how Spring Cloud Cluster provides a simple abstraction for leader election and how it is implemented using Zookeeper, Hazelcast and etc.

01:18:01

Solving Business Problems with Data Science

Posted by Thomas Levi  on  Nov 13, 2016 Posted by Thomas Levi Ali Jalali Alok Agarwal Todd Townsend KRS Murthy  on  Nov 13, 2016

The panelists discuss how Data Science can help solve various problems for business.

31:48

Get Off the Bus, Gus: 50 Ways to Leave Your Mainframe

Posted by Rohit Kelapure  on  Oct 28, 2016 Posted by Rohit Kelapure  on  Oct 28, 2016

Rohit Kelapure provides guidance and best practices in migrating monolithic mainframe apps and data including JCLs wrapped in CICS and IMS using Spring components like Spring Data Flow, Cloud, Batch.

41:39

Hydrator: Open Source, Code-Free Data Pipelines

Posted by Jonathan Gray  on  Oct 23, 2016 Posted by Jonathan Gray  on  Oct 23, 2016

Jonathan Gray introduces Hydrator, an open source framework and user interface for creating data lakes for building and managing data pipelines on Spark, MapReduce, Spark Streaming and Tigon.

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