Jim Scott

Jim Scott Live Stream

1:05:02

Access Control for Distributed Data

1:21:43

AWS Deep Dive

1:19:07

Fraud or not Fraud? That is the question.

1:19:23

Transitioning Compute Models: Hadoop MapReduce to Spark

1:07:28

Yahoo talks about Spark vs. Storm

1:06:15

An Overview of Apache Spark

1:02:14

HBase: Schema Design Basics

1:17:03

An Introduction to Mesos

54:31

Kiji

1:13:33

Apache Flume - A Streaming Data Transport Framework

1:46:07

Practical Introduction to MapReduce and Hadoop Security

1:05:17

Choosing the Right Big Data Architecture for your Business

1:24:06

Apache Ambari

1:04:39

Copious Data, the "Killer App" for Functional Programming

1:21:39

Apache Spark: An Introduction with Use Cases

1:36:17

Using HBase Coprocessors to Build a Distributed, Transactional RDBMS

55:40

Everything you wanted to know, but were afraid to ask about Oozie

43:33

An Overview of Cascading

45:01

An Overview of Scalding

1:12:04

Apache Drill

2:09:52

Overview of Yarn

1:02:52

Running R on Hadoop

1:26:06

HCatalog: Table Management for Hadoop

54:53

Financial Data Analytics with Hadoop

52:35

An Introduction to Impala – Low Latency Queries for Apache Hadoop

1:07:09

Real Enough Time Processing and Bayesian Banditry

59:51

MapReduce v2

26:50

Building a Hadoop Cluster in a Window's Shop

45:23

Avro not just a Serialization Framework: A Serialization System

1:24:24

Using Apache Drill