Spark Summit

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

First Steps With Spark - Spark Screencast #1

Tagging and Processing Data in Real... Hari Shreedharan (Cloudera) Siddhartha Jain (Salesforce Inc)

Building Realtime Data Pipelines with Kafka Connect and Spark Streaming

FIS: Accelerating Digital Intelligence in FinTech: Spark Summit East talk by Aaron Colcord

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

Deep Dive: Apache Spark Memory Management

Deep Dive into Project Tungsten Bringing Spark Closer to Bare Metal -Josh Rosen (Databricks)

Deep Dive Into Catalyst: Apache Spark 2 0'S Optimizer

Apache Spark 2.0: A Deep Dive Into Structured Streaming - by Tathagata Das

Spark on YARN: a Deep Dive - Sandy Ryza (Cloudera)

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

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

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

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

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

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

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

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

Understanding Memory Management In Spark For Fun And Profit

Data Profiling and Pipeline Processing with Spark

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