Strata + Hadoop World 2016 - San Jose, California - IoT & Real-time

MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 6.5 Hours | 2.84 GB

Genre: eLearning | Language: English

An introduction to time series with Team Apache - Part 1 - Patrick McFadin (DataStax) 00:31:12

An introduction to time series with Team Apache - Part 2 - Patrick McFadin (DataStax) 00:30:03

An introduction to time series with Team Apache - Part 3 - Patrick McFadin (DataStax) 00:32:18

An introduction to time series with Team Apache - Part 4 - Patrick McFadin (DataStax) 00:44:39

Distributed stream processing with Apache Kafka - Jay Kreps (Confluent) 00:39:54

Real-time Hadoop: What an ideal messaging system should bring to Hadoop - Ted Dunning (MapR Technologies) 00:42:16

How to turn your house into a robot: An adaptive-learning algorithm for the Internet of Things - Brandon Rohrer (Microsoft) 00:42:19

IoT in the enterprise: A look at Intel (IoT) Inside - Moty Fania (Intel) 00:35:55

Fast data made easy with Apache Kafka and Apache Kudu (incubating) - Ted Malaska (Cloudera), Jeff Holoman (Cloudera) 00:38:54

Embeddable data transformation for real-time streams - Joey Echeverria (Rocana) 00:40:26

Twitter Heron at scale - Karthik Ramasamy (Twitter) 00:43:47

Transforming industrial enterprises with data science: From deterministic machines to probabilistic systems - Sean Murphy (PingThings) 00:39:19

Apache Flink: Streaming done right - Kostas Tzoumas (data Artisans) 00:35:40

Scaling your business with a messaging platform on the Zeta Architecture - Jim Scott (MapR Technologies, Inc.) 00:46:24

Pulsar: Real-time analytics at scale leveraging Kafka, Kylin, and Druid - Tony Ng (eBay, Inc.) 00:36:38

Overcoming the top 5 hurdles to real-time analytics - Pat McGarry (Ryft) 00:34:05