Spark Summit

Engineering Fast Indexes for Big Data Applications: Spark Summit East talk by Daniel Lemire

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

Spark Streaming Pushing the Throughout Limits, the Reactive Way

Fusing Apache Spark and Lucene for Near Realtime Predictive Model Building (Deb Das)

Using Spark and Elasticsearch for Real-time Data Analysis- Costin Leau (Elasticsearch)

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

Magellan: Spark as a Geospatial Analytics Engine

Spark and Cassandra - Martin Van Ryswyk

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

Optimizing Apache Spark SQL Joins: Spark Summit East talk by Vida Ha

Lambda Architecture, Analytics and Data Pathways with Spark Streaming, Kafka, Akka and Cassandra

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

Building a modern data discovery and BI platform using Apache Spark and Catalyst with Kevin Beyer

Accelerating Machine Learning and Deep Learning At Scale With Apache Spark: talk by Ziya Ma

EclairJS = Node Js + Apache Spark

SparkSQL: A Compiler from Queries to RDDs: Spark Summit East talk by Sameer Agarwal

Machine Learning on Spark RoundTable

Spark Streaming and IoT

Clickstream Analysis with Spark—Understanding Visitors in Realtime

Debugging PySpark: Spark Summit East talk by Holden Karau

Building, Debugging, and Tuning Spark Machine Learning Pipelines - Joseph Bradley (Databricks)

Extending Spark with Java Agents (Jaroslav Bachorik)

Scientific Image Analysis Using Spark- Kevin Mader (ETH Zurich / Paul Scherrer Institut)

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

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

Top 5 Mistakes When Writing Spark Applications

Spark on large Hadoop cluster and evaluation - Masaru Dobashi (NTT Data Corporation)

Lessons Learned From Running Spark On Docker

Why Spark on Hadoop Matters - M.C. Srivas

Interactive Visualization of Streaming Data Powered by Spark

Top 5 Mistakes When Writing Spark Applications

Understanding Memory Management In Spark For Fun And Profit

Data Profiling and Pipeline Processing with Spark

Operational Tips For Deploying Apache Spark

SparkUI Visualization

Real-time big data processing with Spark Streaming- Tathagata Das (Databricks)

Spark and the Future of Advanced Analytics

Best Practices for running PySpark

Bay Area Spark Meetup: Adding Native SQL Support to Spark with Catalyst

High Performance Python On Spark

Advanced Apache Spark Training - Sameer Farooqui (Databricks)

Realtime Risk Management Using Kafka, Python, and Spark Streaming

Making Structured Streaming Ready for Production Updates: Spark Summit East talk by Tathagata Das

A Deep Dive into the Catalyst Optimizer (Herman van Hovell)

Analyzing Log Data With Apache Spark

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

Just Enough Scala for Spark (Dean Wampler)

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

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

Training Data Science with Apache Spark

Spark DataFrames: Simple and Fast Analysis of Structured Data - Michael Armbrust (Databricks)