Все публикации

0:35:20

Using Spark and Riak for IoT Apps—Patterns and Anti Patterns: Spark Summit East talk by Pavel Hardak

0:33:44

The Fast Path to Building Operational Applications with Spark: talk by Nikita Shamgunov

0:29:09

Optimizing Spark Deployments for Containers: Isolation, Safety & Performance by William Benton

0:25:07

Secured Kerberos based Spark Notebook for Data Science: Spark Summit East talk by Joy Chakraborty

0:30:13

Apache Carbondata: An Indexed Columnar File Format for Interactive Query by Jacky Li/Jihong Ma

0:25:41

New Directions in pySpark for Time Series Analysis: Spark Summit East talk by David Palaitis

0:31:15

Spark: Data Science as a Service: Spark Summit East talk by Shekhar Agrawal and Sridhar Alla

0:25:00

Accelerating Spark Genome Sequencing in Cloud—A Data Driven Approach by Eric Kaczmarek and Lucy Lu

0:30:09

Spark Autotuning: Spark Summit East talk by: Lawrence Spracklen

0:30:29

Fault Tolerance in Spark: Lessons Learned from Production: Spark Summit East talk by Jose Soltren

0:28:18

Sparking Up Data Engineering: Spark Summit East talk by Rohan Sharma

0:31:29

Spark Streaming as a Service with Kafka and YARN: Spark Summit East talk by Jim Dowling

0:16:47

Fighting Cybercrime: A Joint Task Force of Real Time Data and Human Analytics by William Callaghan

0:35:11

Migrating from Redshift to Spark at Stitch Fix: Spark Summit East talk by Sky Yin

0:28:15

Experiences with Spark's RDD APIs for Complex, Custom Applications: talk by Tejas Patil

0:29:06

Monitoring the Dynamic Resource Usage of Scala & Python Jobs in Yarn by Ed Barnes/Ruslan Vaulin

0:29:06

Exploring Spark for Scalable Metagenomics Analysis: Spark Summit East talk by Zhong Wang

0:32:10

Spark as the Gateway Drug to Typed Functional Programming: talk by Jeffrey Smith and Rohan Aletty

0:22:27

Powering Predictive Mapping at Scale with Spark, Kafka, and Elastic Search: talk by Jörg Schad

0:13:26

Delivering Insights from 5PB of Product Logs at Pure Storage: Spark Summit East talk by Brian Gold

0:13:52

Building the Ideal Stack for Real-Time Analytics: Spark Summit East talk by Steven Camina

0:14:57

A New “Sparkitecture” for Modernizing your Data Warehouse: Spark Summit East Talk by Myles Collins

0:45:59

Parallelizing Existing R Packages with SparkR: Spark Summit East talk by Hossein Falaki

0:35:04

Apache Spark for Machine Learning with High Dimensional Labels: by Michael Zargham/Stefan Panayotov