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

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