Videos

AWS re:Invent 2015 | (SPOT304) How Adrian Cockcroft Helped Move Customers to AWS

2 years ago
Adrian Cockcroft is well-known for leading the Netflix architecture migration to AWS and also the Netflix Open Source Software (NetflixOSS) platform. For the last two years he’s been working as a technology fellow at Battery Ventures, where he has helped portfolio companies with their own migration to AWS, with adoption of NetflixOSS tools, and with […]

AWS re:Invent 2015 | (SPOT302) Availability: The New Kind of Innovator’s Dilemma

2 years ago
Successful companies, while focusing on their current customers’ needs, often fail to embrace disruptive technologies and business models. This phenomenon, known as the “Innovator’s Dilemma,” eventually leads to many companies’ downfall and is especially relevant in the fast-paced world of online services. In order to protect its leading position and grow its share of the […]

AWS re:Invent 2015 | (SPOT303) Security Operations at Massive Scale

2 years ago
This session, co-led by Steve Schmidt, AWS Chief Information Security Officer, and George Stathakopoulos, Amazon.com VP of Information Security, gives a unique view of how a global provider and customer work together to deliver security on a massive scale. Steve and George will show some of the innovations that help their teams deliver world-class security […]

AWS re:Invent 2015 | (BDT320) New! Streaming Data Flows with Amazon Kinesis Firehose

2 years ago
Amazon Kinesis Firehose is a fully-managed, elastic service to deliver real-time data streams to Amazon S3, Amazon Redshift, and other destinations. In this session, we start with overviews of Amazon Kinesis Firehose and Amazon Kinesis Analytics. We then discuss how Amazon Kinesis Firehose makes it even easier to get started with streaming data, without writing a stream […]

AWS re:Invent 2015 | (BDT319) New! Amazon QuickSight: Cloud-native Business Intelligence

2 years ago
Amazon QuickSight is a very fast, cloud-powered business intelligence (BI) service that makes it easy to build visualizations, perform ad-hoc analysis, and quickly get business insights from your data. In this session, we demonstrate how you can point Amazon QuickSight to AWS data stores, flat files, or other third-party data sources and begin visualizing your data in minutes. We also introduce […]

AWS re:Invent 2015 | (BDT318) Netflix Handles Data Streams Up to 8 Million Events/Second

2 years ago
In this session, Netflix provides an overview of Keystone, their new data pipeline. The session covers how Netflix migrated from Suro to Keystone, including the reasons behind the transition and the challenges of zero loss while processing over 400 billion events daily. The session covers in detail how they deploy, operate, and scale Kafka, Samza, […]

AWS re:Invent 2015 | (BDT317) Building a Data Lake on AWS

2 years ago
Conceptually, a data lake is a flat data store to collect data in its original form, without the need to enforce a predefined schema. Instead, new schemas or views are created “on demand”, providing a far more agile and flexible architecture while enabling new types of analytical insights. AWS provides many of the building blocks […]

AWS re:Invent 2015 | (BDT316) Offloading ETL to Amazon Elastic MapReduce

2 years ago
Amgen discovers, develops, manufactures, and delivers innovative human therapeutics, helping millions of people in the fight against serious illnesses. In 2014, Amgen implemented a solution to offload ETL data across a diverse data set (U.S. pharmaceutical prescriptions and claims) using Amazon EMR. The solution has transformed the way Amgen delivers insights and reports to its […]

AWS re:Invent 2015 | (BDT313) Amazon DynamoDB for Big Data

2 years ago
NoSQL is an important part of many big data strategies. Attend this session to learn how Amazon DynamoDB helps you create fast ingest and response data sets. We demonstrate how to use DynamoDB for batch-based query processing and ETL operations (using a SQL-like language) through integration with Amazon EMR and Hive. Then, we show you […]

AWS re:Invent 2015 | (BDT312) Application Monitoring: Why Data Context Is Critical

2 years ago
The move towards microservices in Docker, EC2 and Lambda points to a shift towards shorter lived resources. These new application architectures are driving new agility and efficiency. But they, while providing developers with inherent scalability, elasticity, and flexibility, also present new challenges for application monitoring. The days of static server monitoring with a single health […]

AWS re:Invent 2015 | (BDT311) Deep Learning: Going Beyond Machine Learning

2 years ago
Deep learning goes beyond the traditional machine learning of big data and analytics. In this session, we will review the AWS offering, Amazon Machine Learning, and the AWS GPU-intensive family of servers that run native machine learning and deep-learning algorithms. We will also cover some basic deep-learning algorithms using open source software. Session sponsored by […]

AWS re:Invent 2015 | (BDT309) Data Science & Best Practices for Apache Spark on Amazon EMR

2 years ago
Organizations need to perform increasingly complex analysis on their data — streaming analytics, ad-hoc querying and predictive analytics — in order to get better customer insights and actionable business intelligence. However, the growing data volume, speed, and complexity of diverse data formats make current tools inadequate or difficult to use. Apache Spark has recently emerged […]