Table of Contents
What is flexible schema?
A flexible schema type data store can help intake as much data as necessary from various machines without any modification to the data structure itself. Therefore, addition or removal of sensors or adding new capabilities to a machine will not cause data relationships to be invalid.
Does DynamoDB need schema?
DynamoDB is schemaless: When you create a table in DynamoDB, you specify only the primary key attributes, such as partition key or partition key and sort key. When you denormalize data, you only need to query sections of your table, which scales to millions of requests unlike a tightly woven relational schema.
What are the advantages of DynamoDB?
DynamoDB is an Amazon Web Services database system that supports data structures and key-valued cloud services. It allows users the benefit of auto-scaling, in-memory caching, backup and restore options for all their internet-scale applications using DynamoDB.
What are the pros and cons of DynamoDB for an API request?
Con: Weak querying model. Global and Secondary Indexes can only get you so far.
What are the benefits of using DynamoDB?
Benefits of DynamoDB for Operations
- Performance and scalability.
- Access to control rules.
- Persistence of event stream data.
- Time To Live.
- Storage of inconsistent schema items.
- Automatic data management.
- Duolingo.
- Major League Baseball (MLB)
What is DynamoDB schema?
DynamoDB, like most other NoSQL databases, is (almost) schema-less. This means that you don’t define a strict schema for your tables but rather just define the primary key and indexes. Your primary key can just be a partition key or a combination of a partition key and a sort key.
What is hash key in DynamoDB?
DynamoDB supports two types of primary keys, a Hash Key and a Hash and Range Key. A Hash Key consists of a single attribute that uniquely identifies an item. A Hash and Range Key consists of two attributes that together, uniquely identify an item.