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In this video, I explain to you the core concepts of dynamodb and walk you through the console. I discuss what dynamo db is and why its a ...
YouTube-Be A Better Dev
This session is for those who already have some familiarity with DynamoDB. The patterns and data models discussed in this session summarize ...
YouTube-Amazon Web Services
Intro
OLTP Applications
Primary Access Pattern
High Velocity Anti-Pattern
Relational databases cannot scale
NoSQL vs DynamoDB
NoSQL Transactions
Single Table Design Pattern
No SQL approach
Conclusion
A thorough introduction to DynamoDB covering its purpose, main features, and key concepts including: tables and items, read and write ...
YouTube-AWS Events
DynamoDB's serverless design
DynamoDB case study
What is a bookmark?
Why audit DynamoDB?
NoSQL Workbench demo
DynamoDB Key Concepts
Items and Attributes
Filter Conditions
GSI vs LSi
[Read]: Ultimate Guide to DynamoDB: https://serverless.com/dynamodb/ We will be using DynamoDB in our course. This video is meant as a ...
YouTube-Serverless
What is DynamoDB?
DynamoDB vs Relational Databases
DynamoDB On-Demand Mode
DynamoDB Capacity
DynamoDB is a NoSQL Key-Value Store
DynamoDB's Limitations
DynamoDB Triggers
DynamoDB resources
Amazon DynamoDB is a popular choice for modern applications, as it is a serverless database that provides single-digit millisecond ...
Agenda
Primary Key
Composite Primary Key
Query Operation
Review of the Basics
Operation Based Pricing
The Dynamo Api
Maintaining Constraints
Dynamodb Streams
Key Takeaways
Every year at re:Invent, AWS Senior Practice Manager Rick Houlihan leads a technical session dedicated to advanced users of Amazon DynamoDB.
History of data processing
When does NoSQL make sense?
DynamoDB differentiates from the competition
Availability guarantees
Replacing the join with the index
Generic keys
Flipping keys
Summary
Lookup patterns
Closing notes
Come to this session to learn how Amazon DynamoDB was built as the hyper-scale database for internet-scale applications.
What is Paxos?
Partition Metadata Service
DynamoDB read and write capacity
DynamoDB throttling
DynamoDB auto-scaling
DynamoDB periodically uploads a scan of the B-tree
DynamoDB Streams
DynamoDB architecture for global tables
Next Steps
Intellipaat Training courses: https://intellipaat.com/ Intellipaat is a global online professional training provider.
YouTube-Intellipaat
Dynamodb
Origins of Dynamodb
Advantages of Dynamodb
Persistence of Event Stream
Storage of Inconsistent Schema Items
Duolingo
Manage Data Efficiently
Docomo
Data Analysis
Certification
Do you need a database for your projects that can scale up when you need it and only pay for it when you use it?
YouTube-FooBar Serverless
Introduction
Data models
Main components
Secondary Indexes
Operations
Pricing
In this session, learn about Amazon DynamoDB, a fully managed serverless database that provides high performance at any scale with built-in ...
Simple primary key
Concurrent Queries
DynamoDB benefits
DynamoDB limits
Maintain aggregations
Complex Attributes
Unique identifiers
Benefits of single table design
Handling mutable primary keys
Amazon DynamoDB is a fully managed NoSQL database that provides consistent performance at any scale. Customers like Disney+, Zoom, and Snap ...
DynamoDB Availability Zones
DynamoDB is schemaless
Entity-Relationship Diagram
Working with single-item actions
Enriching collections
Lower maintenance burden
Benefits of a strong leader
DynamoDB Transaction Process
Learn more about Amazon DynamoDB at https://amzn.to/2COvCEQ. Amazon DynamoDB is a nonrelational database that delivers performance at any ...
Course Content ⌨️ (00:00) Introduction ⌨️ (09:06) DynamoDB Database Design ⌨️ (34:41) DynamoDB Database Design - Demos with JavaScript SDK ...
YouTube-Enlear Academy
DynamoDB Database Design
DynamoDB Database Design - Demos with JavaScript SDK
Modeling Many-to-Many relationships with Inverted Indexes (with Demos)
DynamoDB GSI Overloading (with Demos)
Paper #120. Amazon DynamoDB: A Scalable, Predictably Performant, and Fully Managed NoSQL DB Service. 650 views · 1 year ago ...more ...
YouTube-DistSys Reading Group
Overview
Contrast between Dynamo and Dynamodb
Predictable Performance
Flexible Schema
Admission Control
Bursting
Global Admission Controller
Durability and Correctness
The Importance of Caches and the Metastability Failures
Importance of Avoiding a Metastable Failure
Join us in this informative talk as we explore data modeling in DynamoDB with real world examples. Discover how to design data models that ...
YouTube-CSharp TV
Why Dynamodb
Connection Limits
Read after Write Consistency
Attributes
Conditional Expressions
Consistent Reads
Denormalization
Pre-Joining Your Data
Global Security Index
Amazon DynamoDB is a managed, NoSQL database service Amazon DynamoDB is a key-value and document database that delivers single-digit ...
YouTube-Pythoholic
What is AWS Dynamo DB?
Relational Databases
AWS Databases
Dynamo DB backups
Disadvantages of strong consistency
Primary key
Amazon Dynamo DB Streams
Dynamo DB Streams
What is read/write capacity mode?
"Amazon DynamoDB is the most scalable database service offered by AWS. Amazon DynamoDB was built to scale with a serverless architecture ...
YouTube-AWS Developers
What Is Amazon Dynamodb
Single Table Philosophy
A Global Secondary Index with Dynamodb
Stacking with Union
Partial Denormalization
Native Date Format in Dynamodb
Lsi a Local Secondary Index
Duplicate the Date
Generate Code
Join Amazon DynamoDB experts for another round of NoSQL data modeling, this time to learn about more advanced data modeling concepts using ...
EMR DynamoDB Connector
Partition Key Recap
Recap
Scaling a Data Model
Querying the Album
Why is this design important?
Simple Write Sharding
GSI Example
I didn't cover everything I know, but I just wanted to talk about some of the more important things you might need to know about Dynaodb.
YouTube-Web Dev Cody
In this video, you will learn about the basics of data modelling, the different types of data models, and the best practices for data ...
YouTube-BeSA
Start with the actual data models
Join your tables together at the points of querying
Normalize your data
Store multiple types of data in the same table
Start with your application access patterns
Apply a secondary index to your dynamodb table