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Modern Data Stack Complexities

Modern Data Stack Complexities

October 28, 2022
solution-sepreator
Modern Data Stack Complexities

With the need for digitization consistently accelerating data creation, businesses create and manage enormous quantities of data every day. Modern data analytics and management solutions are quickly becoming essential to make sense of all this information for business purposes.   

Read on to learn what a modern data platform is and how you can modernize your company’s technology stack.

What Is the Modern Data Stack?

Simply put, the modern data stack is a reimagining of the traditional information flow. This process comprises three steps:

Many companies lack the resources and expertise to process and organize data themselves. However, the modern data stack makes data accessible to anyone within your organization. By quickly transforming and analyzing their data to uncover new opportunities, the modern data stack enables companies to be proactive and get ahead of the competition.

What Makes Up the Data Stack?

The modern data stack includes tools for every aspect of data management, from creation to storage and transformation. These tools are modular in design, enabling you to create a tailored system that meets your business’s unique needs.

1. Common Data Sources

Business data comes from a wide variety of sources, including: 

Your system ingests data through a data pipeline — a complex transport structure of various hardware, software and networking components. A well-built data pipeline is critical for efficient data processes regardless of the other components you have in your technology stack. 

2. Data Integration Platforms

Data integration is the process of organizing all your data in one centralized location, such as a data warehouse, a database or a data lake. Many companies utilize a combination of the three. Here’s a quick explanation of each one:

Most companies handle the integration process through ELT, which involves extracting and loading data into one of the repositories above for transformation. This process usually requires an SaaS data integration platform that facilitates easy extraction and loading.

3. Data Storage and Querying

Before you can use your data, you need a place to store it, making a cloud-based repository a crucial part of the modern analytics stack. Newer data products utilize AI and ML technologies to automate important data management functions, such as security, governance and organization.

A query is a request for information from a data repository. Modern data stack programs enable anyone within your organization to query your databases directly, increasing your organization’s efficiency and agility.

4. Data Transformation

Data transformation is also known as extract-transform-load (ETL), which is the process of preparing data for business use. Here’s a quick breakdown of how each stage changes data:

A modern data analytics platform accelerates this process by allowing you to transform your data while it’s still in the pipeline, enabling more efficient analysis and action.

5. Data Governance and Monitoring

Data governance involves managing the availability, security, integrity and usability of all the data in your system. Good data governance practices ensure your data is accurate, making informed business decisions possible. 

Some examples of data governance functions include:

What Makes a Modern Data Stack Modern?

The modern data stack is made up of cloud-native applications, which is its primary defining factor. SaaS offerings such as modern data analytics platforms have become popular because they are hosted in the cloud, meaning your data is hosted on secure offsite servers. 

Cloud-based data stack components are both scalable and elastic, making them advantageous for growing businesses in fast-paced industries. Here’s the difference between the terms:

Additionally, integrations and modular design mean each component within the stack is like a piece of a puzzle. The modern data stack is highly customizable, as you can add whatever tools make the most sense for your business. You can configure your stack to fit seamlessly together with little technical knowledge.

The Modern Data Stack vs. the Legacy Data Stack

The legacy data stack is built on traditional IT infrastructure, such as the devices you’d find in a traditional data center. On the other hand, modern data platforms are cloud-based, which removes some of the limitations of conventional systems.

Here’s how the modern data stack transforms the traditional data flow: 

Benefits of a Modern Data Stack

The following are some of the most notable modern data stack benefits for companies across various industries:

What Makes a Modern Data Stack Modern?

The modern data stack is made up of cloud-native applications, which is its primary defining factor. SaaS offerings such as modern data analytics platforms have become popular because they are hosted in the cloud, meaning your data is hosted on secure offsite servers. 

Cloud-based data stack components are both scalable and elastic, making them advantageous for growing businesses in fast-paced industries. Here’s the difference between the terms:

Additionally, integrations and modular design mean each component within the stack is like a piece of a puzzle. The modern data stack is highly customizable, as you can add whatever tools make the most sense for your business. You can configure your stack to fit seamlessly together with little technical knowledge.

The Modern Data Stack vs. the Legacy Data Stack

The legacy data stack is built on traditional IT infrastructure, such as the devices you’d find in a traditional data center. On the other hand, modern data platforms are cloud-based, which removes some of the limitations of conventional systems.

Here’s how the modern data stack transforms the traditional data flow: 

Benefits of a Modern Data Stack

The following are some of the most notable modern data stack benefits for companies across various industries:

Get a Free Dextrus Demo

If you’re looking to add a powerful component to your modern analytics stack, Dextrus is the solution you need. Simplify complex data processes to turn insights into revenue faster. Contact our team today to request a real-time demo and see how Dextrus can help you get more out of your dat