Melissa Cloud APIs Integrate Seamlessly with Microsoft Fabric

As organizations modernize their data platforms, many are moving analytics, engineering and business intelligence workloads into Microsoft Fabric. By combining data movement, data science, warehousing, real-time analytics and reporting into one unified environment, Fabric is becoming a preferred choice for enterprises looking to simplify how they manage and activate data.

To support this shift, Melissa makes it easy to integrate its industry-leading cloud APIs into Microsoft Fabric workflows. Whether your team is cleansing customer records, enriching contact data, supporting compliance programs or validating identities, Melissa solutions can be called directly from Fabric notebooks, pipelines and data workflows using simple API requests and scalable batch processing.

This allows organizations to improve data quality without forcing teams to leave the Fabric environment they already use.

Melissa Key Features

Melissa’s most popular cloud services help transform raw data into trusted, actionable assets with:

• Real-time validation of U.S. and international addresses, names, phone numbers and emails
• Integrated data enrichment, from rooftop geocoding to household demographics
• Move updates with NCOA data, generating CASS reports
• Identity verification and risk detection to support Customer Due Diligence (CDD), including KYC, KYB and watchlist screening
• Regulatory compliance support for GDPR, CCPA, AML, KYC and USPS^® data standards
• Batch processing support for improving large data sets at scale

Built for Modern Data Workflows

Because Melissa services are API-based, they fit naturally into modern cloud data pipelines. In Microsoft Fabric, teams can use Melissa to:

• Validate incoming customer records before loading them into analytics systems
• Cleanse and standardize data stored in lakehouses and warehouses
• Enrich records before segmentation, reporting or AI modeling
• Screen new customers during onboarding processes
• Maintain accurate contact data over time with change-of-address processing
• Process millions of records in scheduled batch workflows

Get Started with Sample Code for Microsoft Fabric

To help customers get started quickly, Melissa provides ready-to-use Microsoft Fabric notebook examples with Python code and setup guidance for our most popular cloud services.

These examples demonstrate how to connect Melissa APIs into Fabric notebooks and automate data quality workflows with minimal setup.