Notes:
Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. It is a popular choice for modern, cloud-native applications that need low-latency access to data at any scale.
DynamoDB is designed to be highly available and durable, with built-in support for data replication and automatic failover. It also offers flexible querying and indexing capabilities, allowing developers to access and retrieve data in a variety of ways.
DynamoDB is commonly used for a variety of applications, including web and mobile applications, real-time data processing, gaming, and IoT (Internet of Things) applications, to name just a few examples. It is also frequently used in conjunction with other Amazon Web Services (AWS) products, such as Amazon Lambda and Amazon Elasticsearch, to build more complex and sophisticated cloud-based systems.
NoSQL (Not Only SQL) databases are a type of database that are designed to handle large amounts of data that is not structured in a traditional, tabular manner. They are often used for applications that require fast and flexible access to data, such as real-time data processing and analytics.
There are several advantages that NoSQL databases can provide for dialog systems, which are systems that are designed to interact with users in natural language. Some of these advantages include:
- Scalability: NoSQL databases are designed to handle large amounts of data, and they are often highly scalable, making them well-suited for applications that need to handle a large volume of data or traffic.
- Flexibility: NoSQL databases are often more flexible than traditional, relational databases, as they are not constrained by a fixed schema. This can make it easier to store and retrieve data in a variety of formats and structures, which can be useful for dialog systems that need to handle a wide range of input and output data.
- Real-time performance: NoSQL databases are often designed to provide fast and predictable performance, which can be important for dialog systems that need to respond to user input in real-time.
Resources:
- aws.amazon.com/dynamodb .. fast and flexible nosql database service
Wikipedia:
See also:
100 Best Amazon AWS Tutorial Videos | 100 Best Amazon Echo Videos | 100 Best Amazon Ivona Videos | 100 Best Amazon Mechanical Turk Videos
- Amazon DynamoDB Overview, a fully managed NoSQL database service
- Getting Started with Amazon DynamoDB
- AWS Summit San Francisco 2015: Deep Dive on Amazon DynamoDB
- Technical Introduction to Amazon DynamoDB – NoSQL Cloud Database Service on AWS
- AWS re:Invent 2014: From Zero to NoSQL Hero – Amazon DynamoDB Tutorial (BDT203)
- Getting started with Serverless, Lambda (nodejs), API Gateway, DynamoDB
- ep 1: How to use AWS API Gateway to expose AWS DynamoDB database backend
- AWS re:Invent 2015 | (DAT401) Amazon DynamoDB Deep Dive
- AWS re:Invent 2015: Amazon DynamoDB Deep Dive (DAT401)
- Webinar: Amazon DynamoDB
- Massive Message Processing with Amazon SQS and Amazon DynamoDB (ARC301) | AWS re:Invent 2013
- Writing data to DynamoDB (Getting started with AWS Lambda, part 7)
- Amazon DynamoDB Day 2016: How to Design NoSQL Tables and Avoid Hot Keys on AWS
- Building Applications with DynamoDB [1/4]
- Database – Amazon DynamoDB Part 1
- AWS re:Invent 2016: Deep Dive on Amazon DynamoDB (DAT304)
- Building Apps for Mobile, Gaming, IoT, and more using AWS DynamoDB by Rick Houlihan
- Amazon DynamoDB Design Patterns for Ultra-High Performance Apps (DAT304) | AWS re:Invent 2013
- AWSLIVE: Introducing Amazon DynamoDB, a fully managed NoSQL database service
- Reading data from DynamoDB tables (Getting started with AWS Lambda, part 8)
- Using Amazon Elastic MapReduce (EMR) to Export and Analyze DynamoDB Data
- Building Applications with DynamoDB [2/4]
- What is Amazon DynamoDB?
- Using AWS API Gateway and Dynamodb for a simple api
- Amazon DynamoDB – Fast and Flexible NoSQL Database
- Getting Started with Global Secondary Indexes for Amazon DynamoDB
- Build Your Web Analytics with node.js, Amazon DynamoDB and Amazon EMR (BDT203) | AWS re:Invent 2013
- Amazon DynamoDB – Demo using AWS SDK Java API
- Building Applications with DynamoDB [4/4]
- AWS Summit Series 2016 | Chicago – Deep Dive on Amazon DynamoDB
- Introduction to Amazon DynamoDB | Edureka
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- AWS December 2015 Webinar Series – Design Patterns using Amazon DynamoDB
- AWS re:Invent 2015 | (DEV303) Practical DynamoDB Programming in Java
- Building Applications with DynamoDB [3/4]
- Amazon DynamoDB
- Amazon DynamoDB January 2016 Day at the SF Loft – DynamoDB Design Patterns and Best Practices
- SQL to NoSQL Best Practices with Amazon DynamoDB – AWS July 2016 Webinar Series
- Step-by-Step Guide to Amazon DynamoDB for .NET Developers
- AWS Webcast – Data Modeling for low cost and high performance with DynamoDB
- Amazon DynamoDB – What’s It All About?
- AWS re: Invent TLS 305: Using Amazon DynamoDB Effectively with the AWS SDK for PHP
- AWS re:Invent 2014 | (SDD424) Simplifying Scalable Distributed Applications Using DynamoDB Streams
- Serverless Architecture on AWS utilizing DynamoDB, Lambda, API Gateway & S3
- Amazon DynamoDB – Introduction and Overview
- C Simplify It – Import Data From Excel Spreadsheet to AWS DynamoDB Local
- Amazon DynamoDB April 2016 Day at the NY Loft – Getting Started with Amazon DynamoDB
- Designing for scale – three steps to optimal data performance using DynamoDB and Redshift
- Getting Started with Fine-Grained Access Control for DynamoDB
- AWS re: Invent DAT 102: Introduction to Amazon DynamoDB
- AWS re: Invent DAT 302: Under the Covers of Amazon DynamoDB
- Amazon DynamoDB NoSQL
- AWS re: Invent MBL 301: Data Persistence to Amazon DynamoDB for Mobile Apps
- Build a limitless spatial database in the cloud with Amazon DynamoDB and S3
- Cloud Thermometer DynamoDB Table Setup
- Query/Read data from Amazon DynamoDB Table, Write JSON documents into DynamoDB
- AWS re:Invent 2016: Cross-Region Replication with Amazon DynamoDB Streams (DAT201)
- AWS Summit Series 2016 | Chicago – Getting Started with Amazon DynamoDB
- Getting started with DynamoDB
- Amazon DynamoDB – Setup locally on Virtual Machine
- AWS September – Getting Started with DynamoDB Streams 200
- Production NoSQL in an Hour: Introduction to Amazon DynamoDB (DAT101) | AWS re:Invent 2013
- DynamoDB and DynamoDB-Mapper — Building scalable Python applications with Amazon’s NoSQL database
- February 2016 Webinar Series – Introduction to DynamoDB
- Amazon DynamoDB – Eclipse AWS Plugin and sample dynamodb application
- Infor: Serverless Application Testing with AWS Lambda, Amazon SWF and Amazon DynamoDB
- How to work with DynamoDB using the AWS Toolkit in Eclipse
- AWS re:Invent 2015 | (BDT313) Amazon DynamoDB for Big Data
- Develop Android Apps with AWS-6|| Updating DynamoDB table from android application
- Amazon DynamoDB – Setup and primitive operations using AWS web console
- Setup – Building a Rest API using DynamoDB
- Amazon DynamoDB January 2016 Day at the SF Loft | Build a Location-Aware Recommendation Engine
- Amazon DynamoDB – Setup and primitive operations using AWS CLI
- AWS Webcast – Four Tips for Faster Development With DynamoDB
- AWS Seattle Big Data Meetup | DynamoDB Streams and Cross-region Replication
- Defining the DynamoDB Resource – Building a Rest API using DynamoDB
- Adding the POST create Endpoint – Building a Rest API using DynamoDB
- AWS July Webinar Series – Getting Started with Amazon DynamoDB
- Redfin Uses Amazon DynamoDB to Accelerate Lookups of Similar Listings From 2 Secs to 12 Milliseconds
- Intro to Map Suite DynamoDB Extension Technology Preview
- SmugMug: From MySQL to Amazon DynamoDB (DAT204) | AWS re:Invent 2013
- Introduction to DynamoDB (Russian)
- How to Connect Power BI to DynamoDB with Simba ODBC Driver
- AWS re:Invent 2016: Migrating a Scalable Database from Oracle to DynamoDB (ARC404)
- Export data from DynamoDB to S3 Bucket
- Amazon DynamoDB – Demo using AWS Management Console
- Amazon DynamoDB Tips?AWS Summit Tokyo 2014 | TA-10?
- AWS re:Invent 2016: Streaming ETL for RDS and DynamoDB (DAT315)
- Amazon DynamoDB June 2016 Day at the SF Loft – Deep Dive on Amazon DynamoDB
- Lyft Easily Scales Up its Ride Location Tracking System with Amazon DynamoDB