AWS re:Invent 2018: Amazon DynamoDB Under the Hood: How We Built a Hyper-Scale Database (DAT321)
Come to this session to learn how Amazon DynamoDB was built as the hyper-scale database for internet-scale applications. In January 2012, Amazon launched DynamoDB, a cloud-based NoSQL database service designed from the ground up to support extreme scale, with the security, availability, performance, and manageability needed to run mission-critical workloads. This session discloses for the first time the underpinnings of DynamoDB, and how we run a fully managed nonrelational database used by more than 100,000 customers. We cover the underlying technical aspects of how an application works with DynamoDB for authentication, metadata, storage nodes, streams, backup, and global replication.
Видео AWS re:Invent 2018: Amazon DynamoDB Under the Hood: How We Built a Hyper-Scale Database (DAT321) канала Amazon Web Services
Видео AWS re:Invent 2018: Amazon DynamoDB Under the Hood: How We Built a Hyper-Scale Database (DAT321) канала Amazon Web Services
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
AWS re:Invent 2018: Amazon DynamoDB Deep Dive: Advanced Design Patterns for DynamoDB (DAT401)Introduction to AWS ServicesØredev 2015 - Christopher Batey - DYNAMO: the paper that changed the database worldAWS re:Invent 2018: Building with AWS Databases: Match Your Workload to the Right Database (DAT301)AWS re:Invent 2018 - Keynote with Andy JassyAWS re:Invent 2019: [REPEAT 1] Amazon Aurora storage demystified: How it all works (DAT309-R1)Dissecting Dynamo: Highly available key value store at Silicon Valley Code Camp 2018What is a DynamoDB GSI (Global Secondary Index) ?AWS Lambda & DynamoDB - AWS Serverless Part ISQL vs NoSQL ExplainedAWS re:Invent 2019: Backup-and-restore and disaster-recovery solutions with AWS (STG208)AWS re:Invent 2019: Data modeling with Amazon DynamoDB (CMY304)AWS re:Invent 2018: [REPEAT 1] Become an IAM Policy Master in 60 Minutes or Less (SEC316-R1)Best Practices for Modernizing On-Premise Big Data Workloads Using Amazon EMRSingle-Table Design with DynamoDB - Alex DeBrie, AWS Data HeroAWS re:Invent 2019: [REPEAT 2] I didn’t know Amazon API Gateway did that (SVS212-R2)AWS re:Invent 2019: Deep dive and best practices for Amazon Redshift (ANT418)AWS DynamoDB Schema Design | How to choose the right keyAWS re:Invent 2019: [REPEAT 1] Amazon DynamoDB deep dive: Advanced design patterns (DAT403-R1)