Understanding Aggregate Data Models in NoSQL Simplified 101

on Aggregate Data Models, Data Modeling, Database, NoSQL, Schema • April 27th, 2022 • Write for Hevo

Aggregate Data Models in NoSQL

Over the last few years, companies started using modern applications with flexible data requirements to run their business activities. Relational Databases have predefined schemas and cannot satisfy the changing data needs. NoSQL Databases provide schema-less architecture making it easier for Developers to store data in a flexible manner. 

Modern applications and websites use types of data structures that are very different from Relational Database modeling. Aggregate Data Models in NoSQL are used to meet the requirements and maintain smoothness in storing data appropriately. 

The Aggregate Data Models in NoSQL Database allow easy handling of complex and list of nested records. In this article, you will learn about Aggregate Data Models in NoSQL Database, what are its different types, and their use cases. You will also go through an example of Aggregate Data Models in NoSQL.

Table of Contents

What is a NoSQL Database?

NoSQL Logo - Aggregate Data Models in NoSQL
Image Source

A NoSQL Database, also known as a non SQL or non-relational Database is a non-tabular Database that stores data differently than the tabular relations used in relational databases. Companies widely used NoSQL Database generally for big Data and real-time web applications. NoSQL Databases offers flexible schema, and it’s not mandatory to provide schema. As modern applications use a variety of changing data, so NoSQL Databases are best suited for them. 

NoSQL Databases offer a simple design, horizontal scaling for clustering machines, and limit the object-relational impedance mismatch. It uses different data structures from those used by relational Databases making some operations faster. NoSQL Databases are designed to be flexible, scalable, and capable of rapidly responding to the data management demands of modern businesses.

Key Features of NoSQL Database 

Some of the main features of the NoSQL Database are listed below:

  • Horizontal Scaling: NoSQL Databases can scale horizontally by adding nodes to share loads. As the data grows the hardware can be added and scalability features could be preserved for NoSQL.
  • Performance: Users can increase the performance of the NoSQL Database by adding a different server.
  • Flexible Schema: NoSQL Databases do not require the same schema as compared to SQL Databases. The document in the same collection does not need to have the same set of fields and data type.
  • High Availability: Unlike Relational Databases that use primary and secondary nodes for fetching data. NoSQL Databases use master place architecture.

To learn more about NoSQL Database, click here.

Empower Data Modeling with Hevo’s No-code Data Pipeline

Hevo Data, a fully-managed Data Modeling solution, can help you automate your Data Modeling process in a few clicks. With Hevo’s blazing-fast Data Pipelines, you can extract & model data from 100+ Data Sources into your Data Warehouse, Database, or any destination. You can also process raw data using Hevo’s robust & built-in transformation without writing a single line of code!

Get Started with Hevo for Free

Hevo is the fastest, easiest, and most reliable data replication platform that will save your engineering bandwidth and time multifold. With Hevo, you can experience an entirely automated hassle-free Data Modeling. Try our 14-day full access free trial today!

What are Aggregate Data Models in NoSQL?

Aggregate means a collection of objects that are treated as a unit. In NoSQL Databases, an aggregate is a collection of data that interact as a unit. Moreover, these units of data or aggregates of data form the boundaries for the ACID operations.  

Aggregate Data Models in NoSQL make it easier for the Databases to manage data storage over the clusters as the aggregate data or unit can now reside on any of the machines. Whenever data is retrieved from the Database all the data comes along with the Aggregate Data Models in NoSQL. 

Aggregate Data Models in NoSQL don’t support ACID transactions and sacrifice one of the ACID properties. With the help of Aggregate Data Models in NoSQL, you can easily perform OLAP operations on the Database. 

You can achieve high efficiency of the Aggregate Data Models in the NoSQL Database if the data transactions and interactions take place within the same aggregate. 

Types of Aggregate Data Models in NoSQL Databases

The Aggregate Data Models in NoSQL are majorly classified into 4 Data Models listed below:

Key-Value Model

Key-Value Model - Aggregate Data Models in NoSQL
Image Source

The Key-Value Data Model contains the key or an ID used to access or fetch the data of the aggregates corresponding to the key. In this Aggregate Data Models in NoSQL, the data of the aggregates are secure and encrypted and can be decrypted with a Key.

Use Cases:

  • These Aggregate Data Models in NoSQL Database are used for storing the user session data.
  • Key Value-based Data Models are used for maintaining schema-less user profiles.
  • It is used for storing user preferences and shopping cart data.

Document Model

Document Model - Aggregate Data Models in NoSQL
Image Source

The Document Data Model allows access to the parts of aggregates. In this Aggregate Data Models in NoSQL, the data can be accessed in an inflexible way. The Database stores and retrieves documents, which can be XML, JSON, BSON, etc. There are some restrictions on data structure and data types of the data aggregates that are to be used in this Aggregate Data Models in NoSQL Database.

Use Cases:

  • Document Data Models are widely used in E-Commerce platforms
  • It is used for storing data from content management systems.
  • Document Data Models are well suited for Blogging and Analytics platforms.

Column Family Model

Column Family Model - Aggregate Data Models in NoSQL
Image Source

Column family is an Aggregate Data Models in NoSQL Database usually with big-table style Data Models that are referred to as column stores. It is also called a two-level map as it offers a two-level aggregate structure. In this Aggregate Data Models in NoSQL, the first level of the Column family contains the keys that act as a row identifier that is used to select the aggregate data. Whereas the second level values are referred to as columns.

Use Cases:

  • Column Family Data Models are used in systems that maintain counters.
  • These Aggregate Data Models in NoSQL are used for services that have expiring usage.
  • It is used in systems that have heavy write requests.

Graph-Based Model

Graph-Based Model - Aggregate Data Models in NoSQL
Image Source

Graph-based data models store data in nodes that are connected by edges. These Aggregate Data Models in NoSQL are widely used for storing the huge volumes of complex aggregates and multidimensional data having many interconnections between them. 

Use Cases: 

  • Graph-based Data Models are used in social networking sites to store interconnections.
  • It is used in fraud detection systems.
  • This Data Model is also widely used in Networks and IT operations.

What Makes Hevo’s Data Modeling Experience Unique

The Data Modeling process can be time-consuming and tedious without using the right set of tools. Hevo’s automated No Code platform helps in enriching your Data Modeling with its blazing-fast Data Pipeline. Our platform has the following in store for you!

  • Exceptional Security: A Fault-tolerant Architecture that ensures Zero Data Loss.
  • Built to Scale: Exceptional Horizontal Scalability with Minimal Latency for Modern-data Needs.
  • Built-in Connectors: Support for 100+ Data Sources, including Databases, SaaS Platforms, Files & More. Native Webhooks & REST API Connector available for Custom Sources.
  • Data Transformations: Best-in-class & Native Support for Complex Data Transformation at fingertips. Code & No-code Flexibility ~ designed for everyone.
  • Smooth Schema Mapping: Fully-managed Automated Schema Management for incoming data with the desired destination.
  • Blazing-fast Setup: Straightforward interface for new customers to work on, with minimal setup time.

Want to take Hevo for a spin? Sign Up here for a 14-day free trial and experience the feature-rich Hevo.

Steps to Build Aggregate Data Models in NoSQL Databases

Now that you have a brief knowledge of Aggregate Data Models in NoSQL Database. In this section, you will go through an example to understand how to design Aggregate Data Models in NoSQL. For this, a Data Model of an E-Commerce website will be used to explain Aggregate Data Models in NoSQL.

This example of the E-Commerce Data Model has two main aggregates – customer and order. The customer contains data related to billing addresses while the order aggregate consists of ordered items, shipping addresses, and payments. The payment also contains the billing address. 

UML Diagram for E-Commerce Site - Aggregate Data Models in NoSQL
Image Source

If you notice a single logical address record appears 3 times in the data, but its value is copied each time wherever used. The whole address can be copied into an aggregate as needed. There is no pre-defined format to draw the aggregate boundaries. It solely depends on whether you want to manipulate the data as per your requirements. 

The Data Model for customer and order would look like this.


// in customers
{
"customer": {
"id": 1,
"name": "Martin",
"billingAddress": [{"city": "Chicago"}],
"orders": [
 {
 "id":99,
 "customerId":1,
 "orderItems":[
 {
 "productId":27,
 "price": 32.45,
 "productName": "NoSQL Distilled"
 }
 ],
 "shippingAddress":[{"city":"Chicago"}]

 "orderPayment":[
 {
 "ccinfo":"1000-1000-1000-1000",
 "txnId":"abelif879rft",
 "billingAddress": {"city": "Chicago"}
 }],
 }]
}
}

In these Aggregate Data Models in NoSQL, if you want to access a customer along with all customer’s orders at once. Then designing a single aggregate is preferable. But if you want to access a single order at a time, then you should have separate aggregates for each order. It is very content-specific.

Conclusion 

In this article, you learnt about NoSQL Databases, Data Modeling, and Aggregate Data Models in NoSQL. You also read about different types of Aggregate Data Models in the NoSQL Database and went through an example of an E-Commerce website, and understood how Aggregate Data Models in NoSQL are used for storing data.

Visit our Website to Explore Hevo

Companies need to analyze their business data stored in multiple data sources. Data needs to be loaded to the Data Warehouse to get a holistic view of the data. Hevo Data is a No-code Data Pipeline solution that helps to transfer data from 100+ data sources to desired Data Warehouse. It fully automates the process of transforming and transferring data to a destination without writing a single line of code.

Want to take Hevo for a spin? Sign Up here for a 14-day free trial and experience the feature-rich Hevo.

Share your experience of learning about the Aggregate Data Models in NoSQL in the comments section below!

No-code Data Pipeline For your Data Warehouse