In this white paper, we discuss the architecture to aim for when designing data applications, recommending a three-layer separation: the front-end application or applications, data storage (typically many disparate ones), and data integration sandwiched in between.
Utilizing the power of a data integration platform, organizations can future-proof towards large data volumes and complexity by:
These types of applications are more flexible, allowing businesses to respond quickly to typical data management issues caused by fast‑changing requirements in growing and unstructured environments.
Data integration software and ETL tools provided by the CloverDX platform (formerly known as CloverETL) offer solutions for data management tasks such as data integration, data migration, or data quality. CloverDX is a vital part of enterprise solutions such as data warehousing, business intelligence (BI) or master data management (MDM). CloverDX Designer (formerly known as CloverETL Designer) is a visual data transformation designer that helps define data flows and transformations in a quick, visual, and intuitive way. CloverDX Server (formerly known as CloverETL Server) is an enterprise ETL and data integration runtime environment. It offers a set of enterprise features such as automation, monitoring, user management, real-time ETL, data API services, clustering, or cloud data integration.