Learn Mulesoft: Intro to Common Data Integration Patterns

Discover how the application network enables a composable enterprise by turning reusable assets into self-serve services published in a marketplace, accelerating innovation with security and compliance.

Explore API-led connectivity as a three-layer framework—system, process, and experience APIs—that unlocks and orchestrates data through reusable, self-service assets, published and discoverable via JSON over HTTP.

Adopt an API first mindset and manage the full API lifecycle from design to retirement, covering design, publishing, documentation, security, and analytics to deliver APIs as products.

Design the API as the contract-first stage, outlining the interface and behavior, modeling data and services, and simulating resources, methods, and payloads with developer feedback for validation.

Validate the API specification, then implement the API through building and testing phases, run rounds of API testing, and integrate test automation into DevOps for continuous delivery and deployment.

Manage the API lifecycle by applying runtime security policies and governance, and monitor traffic with an API manager to prevent weak links; publish discoverable APIs to enable reuse and governance.

Identify enterprise resource planning systems, supply chain management systems, customer relationship management systems, and knowledge management systems as four main types of enterprise systems.

Explore enterprise resource planning (ERP) systems that centralize data across finance, HR, manufacturing, and distribution to enable unified reporting and data-driven decisions.

Learn about supply chain management systems (SCMs) as inter-organizational systems that execute supply chain transactions, track the flow of goods and services from suppliers to customers, and autonomously order materials.

Explore customer relationship management systems (CRMs) as enterprise tools that collect and analyze customer data, forecast sales, track communications, automate sales, segment customers, and boost retention, with MuleSoft CRM solutions.

Explore knowledge management systems that capture and share explicit, implicit, and tacit knowledge from documents and crm data to boost efficiency and enable self-service with ai insights, including SharePoint.

Explore how to connect diverse enterprise systems using the most popular integration patterns to deliver basic use cases, supporting digital transformation in a cost-efficient, timely manner.

This lecture introduces ten common data integration use cases, including aggregation, streaming, ingestion, data sync across apps, external sharing, event broadcasting, bulk movement, orchestration, and UI integration.

Explore data aggregation in integration: consolidating data from multiple sources into a central location for analysis. Use cases include on-premise to cloud data migration and executive dashboards.

Explore streaming data ingestion using MuleSoft, injecting IoT, inventory, click, and machine vibration data into a platform for real-time downstream use.

Explore data synchronization use cases where a system of record feeds real-time data to consuming apps, enabling updates across ERP, CRM, financial, and support tools.

Explore integration use cases for sharing data with third parties, including suppliers, government agencies, and regulators, through data exchange like purchase orders, invoices, and operating parameters.

Broadcasting events in this integration use case involves identifying, capturing, and notifying downstream consumers of events such as shipment status, order fulfillment, inventory updates, or site outages after traffic surges.

Explore bulk data movement use cases that optimize resources when real-time processing isn’t required. See one-time CRM to Salesforce migrations, periodic ERP invoice transfers, and nightly reconciliations.

Explore synchronized data transfer use cases where a receiver requests data and waits for the sender to transmit it, suspending processing until delivery, such as retrieving sales report from CRM.

Explore synchronous data transfer use cases in integration, where the source continues tasks without awaiting acknowledgement, with examples like promotional texts, expense approvals, and insurance claim processing.

Explore orchestration and data processing in MuleSoft integration patterns, unifying data from multiple sources and embedding credit checks and employment verification between source and target apps.

Explore user interface integration and mashups, distinguishing data transfer between applications from centralized data aggregation for human consumption in portals, websites, and mobile apps.

Explore how MuleSoft applies integration patterns to transform business use cases into atomic, extensible templates, with migration, broadcast, and aggregation patterns illustrated by Salesforce and external apps.

Learn the unidirectional migration pattern: move data from a source to a destination with criteria and transformation, capture results, and handle insert or update using pull or push and snapshots.

Learn how the broadcast pattern enables unidirectional, near real-time data transfer from a single source to multiple target systems, processing only changed items to ensure reliable, transactional delivery.

Learn how bidirectional sync joins two independent data sets into a unified real-time view, using a bidirectional sink pattern with an integration layer, transformation, and insert or update logic.

Identify the intersection of two data sets and bidirectionally synchronize only matching items using the correlation pattern, updating existing records across systems like hospitals or banks.

Aggregate data from multiple systems via an integration layer. Query, merge, and transform datasets to produce up-to-date reports without maintaining a separate database.

Learn how to migrate data between source and target systems using MuleSoft API-led connectivity, building system APIs and a process API, with batch and scheduler options.

Apply MuleSoft API-led connectivity to broadcasting data between systems using RabbitMQ, creating exchange and queue bindings, transforming string messages to JSON, and routing to Zendesk via cost profile.

Demonstrate MuleSoft API-led bidirectional data sync by wiring Zendesk experience API, cost profile puppy, and Zoho Sapi through post create flows, batch processing, and upsert updates.

Explore API-led connectivity for data correlation across systems, using source and target system APIs with filtering, transformation, and enrichment to synchronize and update data while handling errors.

Apply MuleSoft applied connectivity to aggregate data from multiple system APIs via an experience API and a process layer, then transform, enrich, and handle errors before returning the result.