This document provides an introduction to DynamoDB, Amazon's fully managed NoSQL database. It discusses key DynamoDB concepts like tables, items, attributes, and primary keys. It also explains how DynamoDB stores and retrieves items using an internal hash function on the partition key. The document demonstrates basic CRUD operations in DynamoDB using the console, CLI, and SDK and shows how to invoke DynamoDB from Lambda functions.

1. DynamoDB 101
Suman Debnath
Principal Developer Advocate, India

2. This storm of slides won’t last for more
than 10 mins...

3. SQL and NoSQL
SQL NoSQL
Normalized/Relational Denormalized/Hierarchical
Predefined schema Schemaless
Nice for joins and complex queries Not that good for complex or multi table
queries
ScalesVertically Scales Horizontally
Amazon RDS, Amazon Aurora, etc. AWS DynamoDB
Segregation of use cases for SQL and NoSQL are not that easy in today’s time,
Multiple factors needed to be considered

4. NoSQL Engine Types
▪ Key-value
– shopping cart, Inventory store
▪ Column-oriented
– analytics, data warehouse
▪ Document-Oriented
– catalogs, content management
▪ Graph
– fraud detection, recommendation engine
Productids Attributes
0001 Bottle,red, small
1234 Book,English,Mystry
8765 Movie,Hindi,Fiction
Date
2021-01-01
2020-01-05
2021-02-09
City
Dhaka
Chattogram
Barishal
OrderNo
321
1
567

5. Lambda and Database
IncomingTraffic R/W to Database
20% Used
IncomingTraffic R/W to Database
50% Used
IncomingTraffic R/W to Database
70% UsedThreshold reached !!
IncomingTraffic R/W to Database
Database response slows, App crashes
Fixed RW Limit

6. Lambda and Database
IncomingTraffic R/W to Database
20% Used
IncomingTraffic R/W to Database
50% Used
IncomingTraffic R/W to Database
70% UsedThreshold reached !! RW capacity Scales out
IncomingTraffic R/W to Database
20 % Used
Scalable RW Limit

7. DynamoDB
▪ Fully managed NoSQL database
▪ Store and retrieve any amount of data
▪ Autoscaling
▪ Highly available and durable(replicated across AZs)
▪ It even support ACID transaction
▪ On demand backup and Point in time recovery
▪ %$^^#@*&^% at rest

8. DynamoDB Fundamentals
▪ Table: Similar to other database systems,
DynamoDB stores data in tables.
A table is a collection of data
▪ Items: Each table contains zero or more
items. An item is a group of attributes
that is uniquely identifiable among all of
the other items.
▪ Attributes: Each item is composed of one
or more attributes. An attribute is a
fundamental data element, something
that does not need to be broken down
any further.

9. Primary Key
When you create a table, in addition to the table name, you must specify the
primary key of the table.The primary key uniquely identifies each item in the
table, so that no two items can have the same key
– Partition key: A simple primary key, composed of one attribute known as
the partition key.
– Partition key and Sort key: Referred to as a composite primary key, this type of key is
composed of two attributes.The first attribute is the partition key, and the second
attribute is the sort key.
Some fancy terms:
HASH Attribute
RANGE Attribute

10. Summary
Items
Partition Key
Sort Key

11. Internal Hash Function
DynamoDB uses the partition key value as input to an internal hash
function.The output from the hash function determines the partition
(physical storage internal to DynamoDB) in which the item will be
stored.
All items with the same partition key value are stored together, in
sorted order by sort key value.

12. Items and Attributes

13. /debnsuma/DynamoDB101
Demo
- UI, CLI and SDK(Boto3)
- Basic Operations
- CreateTable
- Load (putitem)
- Read (getitem)
- Condition expression
- Deleting DynamoDB table
- Invoking DynamoDB operation via
Lambda Function

14. /debnsuma/DynamoDB101
Demo
- UI, CLI and SDK(Boto3)
- Basic Operations
- CreateTable
- Load (putitem)
- Read (getitem)
- Condition expression
- Deleting DynamoDB table
- Invoking DynamoDB operation via
Lambda Function
/debnsuma/suman-d