Description

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

Strata + Hadoop World 2016 – San Jose, California – IoT & Real-time
Genre: eLearning | Language: English
MP4 | Video: AVC 1280×720 | Audio: AAC 44KHz 2ch | Duration: 6.5 Hours | 2.84 GB
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