Data is a highly valuable business asset, but it requires a particular effort to be accessed, orchestrated and interpreted. When data is moving across systems and applications, it isn’t always in a standard format. Data integration aims to make data agnostic and usable quickly across the business.

MuleSoft identified five data integration patterns based on business use cases as well as particular integration patterns:

1. Migration, 2. Broadcast, 3. Bi-Directional sync, 4. Correlation, 5. Aggregation

Those patterns can be optimised or adopted based on what business needs require solutions.

Data integration solves the problem of moving, transforming, and consolidating information from various parts of the enterprise (systems, databases, applications, files, and web services) so that it may undergo cleansing, standardizing, de-duplication, manipulation, and synchronization between sources.

Connectors

One of the most valuable artefacts of easy and quick data transformation process - are connectors.

Connectors provide simplified and consistent connectivity to applications, enabling developers to focus on data transformation, as opposed to writing onerous custom code and connecting to a data store.

Available connectors in MuleSoft Exchange provide businesses with instant access to business intelligence data residing in disparate applications and service.

SynergySoft has its own unique experience in creating connectors and become a certified MuleSoft Technology partner because of this expertise. Request an API Connector Expertise

DataWeave

Another powerful tool that offers MuleSoft is DataWeave - the expression language for transforming data as it travels through a Mule application.

DataWeave, provides powerful data integration with an easy to use graphical data mapping interface. DataWeave delivers simple, yet powerful integration capabilities to conduct ETL processes while ensuring high-performance data mapping operations.