White Paper Best Practices

Your Guide To Enterprise Data Architecture

The volume of data generated by businesses is increasing by 40% per year (Source IDC). Additionally, the quality and structure of that data differs vastly with the number of data sources growing. More agile ways of working with and handling data are required; decisions around data cultures and data architectures begin to take priority.

This whitepaper discusses the vast options available for managing and storing data using data architectures, and offers use cases for each architecture. Furthermore, the whitepaper looks at the benefits, drawbacks and challenges of each data architecture and commonly used practices for building these architectures.

CloverDX is a tool which enables organisations to support the data integration process by automating data collection, organisation, validation and transformation processes across various data sources for migration to and from data architectures.

  • How to best approach data culture and architecture decisions;
  • Advantages and disadvantages of data warehouses, data vaults, data hubs, data marts and data lakes;
  • Use cases for each data architecture to enable better project decision-making;
  • Commonly used methodologies for data warehouses, benefits, drawbacks and use cases.

Read more about Data Architecture


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.