AWS Big Data Blog

Videos now available for AWS re:Invent 2015 Big Data Analytics sessions

by Jonathan Fritz | on | Permalink | Comments |  Share

For those of you who were able to attend AWS re:Invent 2015 last week or watched sessions through our live stream, thanks for participating in the conference. We hope you left feeling inspired to tackle your big data projects with tools in the AWS ecosystem and partner solutions. Also, we were excited for our customers to take the stage to discuss their data processing architectures and use cases.

If you missed a session in your schedule, don’t fret! We have added a large portion of re:Invent content to YouTube, and you can find videos of the big data sessions below.

Deep Dive Customers Use cases

BDT303 – Running Spark and Presto on the Netflix Big Data Platform
BDT306 – The Life of a Click: How Hearst Publishing Manages Clickstream Analytics with AWS
BDT307 – Zero Infrastructure, Real-Time Data Collection, and Analytics (with Zillow)
BDT312 – Application Monitoring in a Post-Server World: Why Data Context Is Critical (with New Relic)
BDT318 – Netflix Keystone: How Netflix Handles Data Streams Up to 8 Million Events Per Second 
BDT404 – Building and Managing Large-Scale ETL Data Flows with AWS Data Pipeline and Dataduct (with Coursera)
DAT308 – How Yahoo! Analyzes Billions of Events a Day on Amazon Redshift
DAT311 – Large-Scale Genomic Analysis with Amazon Redshift (with Human Longevity Bioinformatics)
BDT323 – Amazon EBS and Cassandra: 1 Million Writes Per Second on 60 Nodes (with CrowdStrike)
BDT322 – How Redfin and Twitter Leverage Amazon S3 to Build Their Big Data Platforms
MBL314 – Building World-Class, Cloud-Connected Products: How Sonos Leverages Amazon Kinesis

Services Sessions (Amazon EMR, Amazon Kinesis, Amazon Redshift, AWS Data Pipeline and Amazon DynamoDB)

BDT208 – A Technical Introduction to Amazon Elastic MapReduce (with AOL)
BDT209 – Amazon Elasticsearch Service for Real-time Analytics
BDT305 – Amazon EMR Deep Dive and Best Practices (with FINRA)
BDT313 – Amazon DynamoDB for Big Data
BDT319 – Amazon QuickSight: Cloud-native Business Intelligence
BDT320 – Streaming Data Flows with Amazon Kinesis Firehose
BDT401 – Amazon Redshift Deep Dive: Tuning and Best Practices (with TripAdvisor)
BDT316 – Offloading ETL to Amazon Elastic MapReduce (with Amgen)
BDT403 – Best Practices for Building Realtime Streaming Applications with Amazon Kinesis (with AdRoll)
BDT206 – How to Accelerate Your Projects with AWS Marketplace  (with Boeing)
DAT201 – Introduction to Amazon Redshift (with RetailMeNot)

Architecture and Best Practice

BDT205 – Your First Big Data Application On AWS
BDT317 – Building a Data Lake on AWS 
BDT310 – Big Data Architectural Patterns and Best Practices on AWS
BDT402 – Delivering Business Agility Using AWS (with Wipro)
BDT309 – Data Science & Best Practices for Apache Spark on Amazon EMR
DAT204 – NoSQL? No Worries: Building Scalable Applications on AWS NoSQL Services (with Expedia and Mapbox)
ISM303 – Migrating Your Enterprise Data Warehouse to Amazon Redshift (with Boingo Wireless and Edmunds)

Machine Learning

BDT311 – Deep Learning: Going Beyond Machine Learning (with Day1 Solutions)
BDT302 – Real-World Smart Applications With Amazon Machine Learning
BDT207 – Real-Time Analytics In Service of Self-Healing Ecosystems (with Netflix)