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Data Integration Use Cases

Data Integration Use Cases

Video tutorials of some common data integration scenarios handled by Adeptia.

Video Tutorials of Common Data Integration Scenarios

Adeptia’s data integration solution supports multiple data integration scenarios to empower business users to build customer data integrations in minutes.

View some common integration scenarios about migrating and modernizing data and analytics to the public cloud, supporting operational data integration use cases like master data management, inter-enterprise data acquisition, and sharing and data hubs, and establishing a data fabric architecture by utilizing active metadata, semantics, and ML.

Learn about the key innovative capabilities of Adeptia Connect that help streamline data integration tasks and ultimately maximize your data potential.

How to Quickly Configure a Source to Target for Optimized Analytics?

Learn how to enable your business users to employ data integration template to quickly configure a source to data warehouse target for analytics. In this video, you’ll also learn how Adeptia Connect empowers IT user to leverage process designer to create pipeline and activate or publish it as a new template for business users.

How to Migrate and Modernize Data and Analytics Workloads to the Public Cloud?

Adeptia Connect addresses the need for migrating data and analytics workloads to the public cloud, usually involving an architecture that spans across on-premise and one or more cloud ecosystems.

Explore the cloud integration and migration use case via a video demo. In this video, you’ll learn how to establish data sync between three apps — one on-premises, one in cloud (HubSpot, NetSuite etc.) and one in cloud DB.

How to Support Operational/Transactional Data Integration Use Cases?

Adeptia Connect supports multiple operational/transactional data integration use-cases such as master data management, inter-enterprise data acquisition and sharing, and data hubs.

In this sample video, inter-enterprise data sharing use case is explained. Sample benefits/401k data is received from multiple customer sources, which is first validated and cleaned to maintain data consistency, and is then aggregated into the system of record of master data while sending acknowledgement and updates back to customers.

How to Build a Data Fabric?

A data fabric architecture enables faster access to trusted data across distributed landscapes by utilizing active metadata, semantics, and ML capabilities.

Learn more about this forward-looking use case by taking a real-world example of a financial technology company. In this video, AIMap is used to publish process flows as REST WS that is called from another process flow or from external WS, and expose APIs to clients to request data from critical business workflows.

Data Integration with Snowflake

Learn how to empower your business users to integrate customer data in Snowflake using Adeptia Connect.

Go through this 3-step video to:

  • Enable integration with snowflake using a template
  • Verify results by going to the dashboard and running a query in Snowflake
  • Connect to Snowflake using a process flow

Data Integration with Amazon S3

Adeptia Connect empowers business users (even the non-technical ones) to integrate with Amazon S3 for automating data exchange with any application.

Watch this video to:

  • Integrate with Amazon S3 using a template
  • Verify results by going to the dashboard

Learn More About Adeptia Solutions

Check out these great resources to learn more about how Adeptia can help your organization.