Unify: How the workload can help you

This page provides an overview of the Quantexa Unify workload for Microsoft Fabric and how it can help you in your data projects.

Overview of the Quantexa Unify workload

The Quantexa Unify workload brings a critical data transformation component into the Microsoft Fabric ecosystem: Entity Resolution.

The Unify workload is built on the industry-leading AI-driven Entity Resolution component of Quantexa’s Decision Intelligence Platform.

As a result, the workload empowers data teams by enhancing data quality and usability, eliminating data silos, and allowing you to connect data at scale.

How can the Unify workload help you?

The Unify workload delivers best-in-class Entity Resolution, providing deeper contextualization and refinement of your datasets compared to traditional record-matching methods.

It also simplifies data management and allows you to integrate and update data from multiple sources continuously.

Entity Resolution through the Unify workload quickly and easily elevates the data on which you base your data analysis and real-world decision-making. This helps you unlock deeper insights and make smarter decisions with ease.

For more information on Entity Resolution in the Unify workload, see Unify: What the workload does.

Why should I use Unify instead of other Entity Resolution tools?

By using the Quantexa Unify workload, you will benefit from Quantexa's industry-leading Entity Resolution capabilities.

Additionally, key features of the Unify workload include the following:

• No-code interface that allows users of all types to benefit from the workload.
• Automated data mapping.
• Advanced Entity matching, including the ability to adjust the ‘strictness’ of Entity matching between Iterations.
• End-to-end Entity Resolution processing that can complete in under one hour.
• Scalable for high-volume datasets and many multiples of datasets.
• Outputs data into tables that you can use to build Semantic Models or to enhance your data analytics, for example within Power BI and other applications.
• Outputs deduplicated, AI-ready data that can be used, for example, for Machine Learning and AI models in Fabric.
• Helps you identify quality issues through Power BI reports.
• Seamless integration into your Fabric project.
• Low-friction sign-up process with minimal onboarding requirements.
• Supports team collaboration within a single platform.

In short, the Quantexa Unify workload helps you easily and quickly create a trusted, connected, and contextualized data foundation.

IMPORTANT: While the Unify workload can function in Fabric on a F1 or F2 capacity, Quantexa recommends using a F8 capacity or greater.

How the Unify workload fits into the Fabric ecosystem

When you first add the Unify workload, you are provided with a Demo version of the workload that only allows you to use the Data Sources that Quantexa provides. On requesting a Full User license, you are then provided with full access to the workload. This allows you to use your own Data Sources and run the full workload within your Fabric tenant.

An example workflow that shows how Unify fits into the Fabric ecosystem is as follows:

1. You have Data Sources that include customer and supplier information. Therefore, before using the Unify workload, you use OneLake to connect and centralize access to your Data Sources. You connect multiple Data Sources within Fabric.
2. Although your Data Sources contain customer and supplier information, there is no customer key or unique ID to indicate which references are to the same individuals or companies.
3. Therefore, you use the Quantexa Unify workload to match references to the same individuals and companies across your Data Sources and create a unique ID for each individual and company. This is your ‘resolved’ data.
4. Following on from the Unify workload, you could use your resolved data in the following ways:
   • Data warehouse specialist: To aggregate your data in a Fabric Data Factory flow.
   • Power BI engineer: To combine data from your Data Sources into visualizations in Power BI.
   • Data scientist: To develop a machine learning model using Fabric Notebooks.

The preceding example are just three in a vast range of scenarios of how you can use your resolved data downstream from the Unify workload.

Next steps

If you are working with datasets of any size that would benefit from Entity Resolution, try the Quantexa Unify workload.

You can test out or purchase the workload in the following ways:

• Demo version: This is a free preview open to all Fabric users that allows you to test out some of the workload’s key features. In this preview, you can only use the Data Sources that Quantexa provides. To access the Demo version of Unify, also known as the Public Preview version, click here.

NOTE: To access the link, ensure you are logged into your Fabric account in your browser.

• Full User and Trial versions: The Full User version provides you with full access to the Unify workload, including allowing you to use your own Data Sources. You can access the Full User version directly through a license subscription. Additionally, you can also gain temporary access to the Full User version of Unify through a Trial version. This allows you to explore all the workload features on a temporary, unpaid license. To purchase the Full User version or access the Trial version of Unify, contact UnifyAndFabric@Quantexa.com.

To find out more about Entity Resolution and the Unify workload process, see Unify: What the workload does.