01:52:03

Bay Area Apache Spark Meetup @ Intel

46:03

Women in Big Data Lunch at Spark Summit East

27:13

The Leaky Pipeline Problem: Making your Mark as a Woman in Big Data:by Kavitha Mariappan

01:35:47

Apache Spark Meet Up at Spark Summit East 2017

35:20

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

31:10

Effective Spark with Alluxio: Spark Summit East talk by Gene Pang and Haoyuan Li

25:21

Utilizing Spark as the Analytical Core to an Open Source HTAP Relational Database: John Leach

30:06

Building Real Time BI Systems with Kafka, Spark & Kudu: Spark Summit East talk by Ruhollah Farchtchi

33:44

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

29:41

Kerberizing Spark: Spark Summit East talk by Abel Rincon and Jorge Lopez-Malla

29:09

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

27:51

Auto Scaling Systems With Elastic Spark Streaming: Spark Summit East talk by PhuDuc Nguyen

25:07

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

27:40

Apache Toree: A Jupyter Kernel for Spark: Spark Summit East talk by Marius van Niekerk

27:30

Teaching Apache Spark Clusters to Manage Their Workers Elastically: Erik Erlandson and Trevor Mckay

30:13

Building a Dataset Search Engine with Spark & Elasticsearch: talk by Oscar Castañeda-Villagrán

31:37

Building Realtime Data Pipelines with Kafka Connect & Spark Streaming by Ewen Cheslack-Postava

30:13

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

30:33

Lessons Learned from Dockerizing Spark Workloads: Spark Summit East talk by Tom Phelan

26:20

Time Series Analytics with Spark: Spark Summit East talk by Simon Ouellette

25:41

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

31:40

Keeping Spark on Track: Productionizing Spark for ETL: talk by Kyle Pistor and Miklos Christine

31:15

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

25:00

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

30:09

Spark Autotuning: Spark Summit East talk by: Lawrence Spracklen

30:29

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

23:33

Lambda Processing for Near Real Time Search Indexing at WalmartLabs: talk by Snehal Nagmote

28:18

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

31:29

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

31:43

Learnings Using Spark Streaming and DataFrames for Walmart Search: by Nirmal Sharma and Yan Zheng

16:47

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

35:11

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

31:16

Problem Solving Recipes Learned from Supporting Spark: talk by Justin Pihony and Stavros Kontopoulos

28:15

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

29:06

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

29:06

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

32:10

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

33:06

Spark for Behavioral Analytics Research: Spark Summit East talk by John Wu

31:41

Going Real Time: Creating Frequently Updating Datasets for Personalization: talk by Shriya Arora

22:27

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

14:06

Compress Software Development Cycles with supercomputer based Spark: talk by Anthony DiBiase

13:52

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

13:26

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

14:17

Building Deep Learning Powered Big Data: Spark Summit East talk by Jiao Wang and Yiheng Wang

11:22

Analytics at the Real Time Speed of Business: Spark Summit East talk by Manish Gupta

14:57

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

11:59

Cornami Accelerates Performance on SPARK: Spark Summit East talk by Paul Master

16:19

Spark SQL: Another 16x Faster After Tungsten: Spark Summit East talk by Brad Carlile

30:29

Solving Real Problems with Apache Spark: Archiving, E Discovery, and Supervision: by Jordan Volz

23:39

Data Driven Water Security with Bluemix Apache Spark Service: talk by Vladimir Stemkovski

45:59

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

22:50

Sketching Data with T Digest In Apache Spark: Spark Summit East talk by Erik Erlandson

32:38

GoDaddy Small Business Success Index Using Apache Spark: Spark Summit East talk by Baburao Kamble

30:29

Practical Large Scale Experiences with Spark 2 0 Machine Learning:talk by Berni Schiefer

33:27

Scaling Apache Spark MLlib to Billions of Parameters: Spark Summit East talk by Yanbo Liang

35:04

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

30:31

R & Spark: How to Analyze Data Using RStudio's Sparklyr: by Nathan Stephens

33:46

Using SparkR to Scale Data Science Applications in Production: by Heiko Korndorf

32:31

Scalable Data Science with SparkR: Spark Summit East talk by Felix Cheung

34:02

BigDL: A Distributed Deep Learning Library on Spark: Spark Summit East talk by Yiheng Wang