What kind of database is Amazon DynamoDB?

NoSQL database
Amazon DynamoDB is a fully managed, serverless, key-value NoSQL database designed to run high-performance applications at any scale.

What rationale should be used for selecting Amazon DynamoDB as the database to support the mobile application?

DynamoDB is a popular choice for mobile applications because it is designed for high-scale use cases where consistent performance is critical as an application grows.

What are the benefits of using Amazon DynamoDB as your database?

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 are three ways to access an Amazon DynamoDB?

You can access Amazon DynamoDB using the AWS Management Console, the AWS Command Line Interface (AWS CLI), or the DynamoDB API. Thanks for your vote.

Is DynamoDB structured data?

DynamoDB stores structured data in tables, indexed by primary key, and allows low-latency read and write access to items ranging from 1 byte up to 400 KB. It supports document stores such as JSON, XML, or HTML in these data types.

Which techniques should you use to secure an Amazon Relational Database Service Amazon RDS database?

Use Secure Socket Layer (SSL) or Transport Layer Security (TLS) connections with DB instances running the MySQL, MariaDB, PostgreSQL, Oracle, or Microsoft SQL Server database engines. For more information on using SSL/TLS with a DB instance, see Using SSL/TLS to encrypt a connection to a DB instance.

How does DynamoDB manage relational data?

Step by step

1. Step 1: Define the access patterns you think you’ll need.
2. Step 2: Create a DynamoDB table with three generic attributes: “partition key”, “sort key”, and “data”
3. Step 3: Create an item in the DynamoDB table for each record in each entity (non-join) table.

When would you use Amazon DynamoDB versus using Amazon RDS?

Amazon RDS will automatically replace the compute instance powering your deployment in the event of a hardware failure. DynamoDB global tables replicate your data automatically across 3 Availability Zones of your choice of AWS Regions and automatically scale capacity to accommodate your workloads.

Is DynamoDB a relational database?

Instead of the relational model, NoSQL databases (like DynamoDB) use alternate models for data management, such as key-value pairs or document storage. For more information, see http://aws.amazon.com/nosql .

How is DynamoDB structured?

DynamoDB uses hashing and B-trees to manage data. Upon entry, data is first distributed into different partitions by hashing on the partition key. Each partition can store up to 10GB of data and handle by default 1,000 write capacity units (WCU) and 3,000 read capacity units (RCU).

How is data stored in a DynamoDB table?

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 are stored together, in sorted order by sort key value.

What makes DynamoDB different?

In DynamoDB, you design your schema specifically to make the most common and important queries as fast and as inexpensive as possible. Your data structures are tailored to the specific requirements of your business use cases. NoSQL design requires a different mindset than RDBMS design.

How does AWS Lambda work with DynamoDB?

In this approach, Lambda polls the DynamoDB stream and, when it detects a new record, invokes your Lambda function and passes in one or more events. The following figure shows a reference architecture for different use cases using DynamoDB Streams and other AWS services.

How to design DynamoDB table schema for real-time reporting?

Solution: Design the DynamoDB table schema based on the reporting requirements and access patterns. For example, if you need to do real-time reporting of invoice transactions, you can access invoice or transaction data from a DynamoDB table directly by using the Query or GetItem API calls.

How can I reduce the cost of Archiving my DynamoDB data?

Implement S3 lifecycle policies to move the older data to S3-IA (for infrequent access) or Amazon Glacier to further reduce the cost. You also can use DynamoDB Time to Live (TTL ), which simplifies archiving by automatically deleting items based on the timestamp attribute.