Talks from Hadoop Summit San Jose 2016
There are a lot of excellent talks from the summit.
Deep Learning
- Apache Spark with Machine Learning like TensorFlow
- Distributed Deep Learning on Hadoop Clusters (Yahoo)
Apache Spark
- Big Data Heterogeneous Mixture Learning on Spark
- Integrating Apache Spark and NiFi for Data Lakes (ThinkBig)
Operations
- Zero Downtime App Deployment Using Hadoop (Hortonworks)
- Debugging YARN Cluster in Production (Hortonworks)
- Yahoo's Experience Running Pig on Tez at Scale
- The DAP Where Yarn HBase Kafka and Spark go to Production (Cask)
- Extend Governance in Hadoop with Atlas Ecosystem (Hortonworks)
- Cost and Resource Tracking for Hadoop (Yahoo)
- Managing Hadoop HBase and Storm Clusters at Yahoo Scale
- Operating and Supporting Apache HBase Best Practices and Improvements (Hortonworks)
- Scheduling Policies in Yarn (Slides)
Future of Data
- Arun Murthy, Hortonworks - Hadoop Summit 2016 San Jose - #HS16SJ - #theCUBE
- The Future of Hadoop : An Enterprise View (Slides)
Streaming
- The Future of Storm (Hortonworks)
- Streaming ETL for All : Embeddable Data Transformation for Real Time Streams
- Real-time, Streaming Advanced Analytics, Approximations, and Recommendations using Apache Spark ML/GraphX, Kafka Stanford CoreNLP, and Twitter Algebird (Chris Fregly, IBM)
- Fighting Fraud in Real Time by Processing 1Mplus TPS Using Storm on Slider YARN (Rocketfuel)
- Lambda less Stream Processing at Scale in LinkedIn
- Make Streaming Analytics Work For You The Devil is in the Details (Hortonworks)
- Lego Like Building Blocks of Storm and Spark Streaming Pipelines for Rapid IOT and Streaming (StreamAnalytix)
- Performance Comparison of Streaming Big Data Platforms
Machine Learning
IoAT
YAF (Yet Another Framework)
- Apache Beam A Unified Model for Batch and Streaming Data Processing (Google)
- Turning the Stream Processor into a Database Building Online Applications on Streams (Flink / DataArtisans)
- The Next Generation of Data Processing OSS (Google)
- Next Gen Big Data Analytics with Apache Apex
SQL and Friends
- How We Re Engineered Phoenix with a Cost Based Optimizer Based on Calcite (Intel and Hortonworks)
- Hive Hbase Metastore Improving Hive with a Big Data Metadata Storage (Hortonworks)
- Phoenix plus HBase An Enterprise Grade Data Warehouse Appliance for Interactive Analytics (Hortonworks)
- Presto Whats New in SQL on Hadoop and Beyond (Facebook, Teradata)
DataFlow
- Scalable Optical Character Recognition with Apache NiFi and Tesseract (Hortonworks)
- Building a Smarter Home with Nifi and Spark
General
- Its Time Launching Your Advanced Analytics Program for Success in a Mature Industry Like Oil and Gas (Conoco Phillips)
- Instilling Confidence and Trust Big Data Security Governance (Mastercard)
- Hadoop in the Cloud The What Why and How from the Experts (Microsoft)
- War on Stealth Cyberattacks that Target Unknown Vulnerabilities
- Hadoop and Cloud Storage Object Store Integration in Production (Hortonworks)
- There is a New Ranger in Town End to End Security and Auditing in a Big Data as a Service Deployment
- Building A Scalable Data Science Platform with R (Microsoft)
- A Data Lake and a Data Lab to Optimize Operations and Safety Within a Nuclear Fleet
- Reliable and Scalable Data Ingestion at Airbnb
