Gain insights into DynamoDB, from table creation to security and monitoring. Delve into access control and avoid common mistakes to confidently use this AWS technology.

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DynamoDB is a beautiful piece of technology. This course covers it in depth. You will learn what DynamoDB is, what it can do, and how to use it. You will learn about table creation and go into the details of security and monitoring. Additionally, you will learn how to manage access control in DynamoDB and how to monitor the usage. 

After taking this course you will become confident in using DynamoDB and will have the know-how to avoid those rookie mistakes that people make while using this technology. No matter how familiar you are with AWS technologies, this course has something for you. For the beginner, this course gives a nice flavor of AWS technologies. And for advanced practitioners, this course provides a definitive guide to DynamoDB and related technologies.

DynamoDB Deep Dive: NoSQL for Software Engineers

Items can be created in the following ways:
1. By using the **PutItem API**
2. Creating items from **AWS console**
3. By using the **BatchWriteItem API**

## PutItem
This API is the most common way for inserting items into our database. We can use it to create a new item in a given table. We need to, mandatorily, specify the primary key for the item we are inserting. If the primary key matches with any other item present in the table, the old item is replaced with the new item.

## Creating items from AWS Console
This is the simplest way of creating an item in DynamoDB. However, it is manual work and does not scale well to inserting millions of items.

> For a hands-on experience, try out the "Create Items in a DynamoDB Table" cloud lab at the end of this chapter!

For this, we can just go to the AWS console, where we created the table. 
1. Click on the `Tables` tab, located inside the left sidebar.
1. Choose the table we want to create the item in.
1. Click on the `Create Item` button.
![Create Item Button](/api/collection/4992351665651712/4578260952809472/page/4978579318767616/image/5992070861291520)  

## BatchWriteItem 
We can write items in batches with a maximum size of 25. The total size of the request should be less than 16 MB. And the individual items should be sized at a maximum of 400KB.

This process uses the power of parallel processing to speed up the writing process. We can use this API when we have large amounts of data to be transferred to DynamoDB. 

We can achieve a similar speed by calling the Put-Item API from multiple threads in our program. But in that case, we will have to take care of the concurrency logic. In my opinion, it is better to let AWS deal with that.

Items can be created in the following ways:
1. By using the **PutItem API**
2. Creating items from **AWS console**
3. By using the **BatchWriteItem API**

# PutItem
This API is the most common way for inserting items into our database. We can use it to create a new item in a given table. We need to, mandatorily, specify the primary key for the item we are inserting. If the primary key matches with any other item present in the table, the old item is replaced with the new item.

# Creating items from AWS Console
This is the simplest way of creating an item in DynamoDB. However, it is manual work and does not scale well to inserting millions of items.

> For a hands-on experience, try out the "Create Items in a DynamoDB Table" cloud lab at the end of this chapter!

For this, we can just go to the AWS console, where we created the table. 
1. Click on the `Tables` tab, located inside the left sidebar.
1. Choose the table we want to create the item in.
1. Click on the `Create Item` button.
![Create Item Button](/api/collection/4992351665651712/4578260952809472/page/4978579318767616/image/5992070861291520)  

# BatchWriteItem 
We can write items in batches with a maximum size of 25. The total size of the request should be less than 16 MB. And the individual items should be sized at a maximum of 400KB.

This process uses the power of parallel processing to speed up the writing process. We can use this API when we have large amounts of data to be transferred to DynamoDB. 

We can achieve a similar speed by calling the Put-Item API from multiple threads in our program. But in that case, we will have to take care of the concurrency logic. In my opinion, it is better to let AWS deal with that.

Understand your options for creating items in tables from the AWS Console.


Welcome!

What is DynamoDB?

Creating Tables

Create a Table in DynamoDB

Creating Items

Create Items in a DynamoDB Table

Reading Data

Read Data in a DynamoDB Table

Secondary Index

Secondary Index in a DynamoDB Table

Monitoring

CloudWatch Monitoring for DynamoDB

Access Management

DynamoDB Best Practices

Conclusion

Instagram Stories Feature

Overview of Various Options

PutItem