Data Integration / ETL Best Practices

Caserta Concepts specialists know of the importance of a well-designed ETL system.

Failing to follow best practices leads to operational, maintainability and scalability problems due to the highly complex nature of the ETL process.

Adhering to best practices allow us to ensure systems are scalable and that they meet business users’ specific requirements. Our services meet the most demanding service level agreements (SLA) by

following best practices that allow data warehouse systems to cope with increases in data and gracefully extend to support growing and evolving businesses.

Some of the best practices for data integration and ETL process include:

  • Taking a four-layered approach to ETL, which includes a functional layer; an operational layer; a utility layer and audit, balance and control layer.
  • Using data driven methods that minimize the amount of custom ETL coding. This can involve using defined perimeters to drive ETL work, and using data-driven tables to support complex coding.
  • Using non-relational database ETL processing to minimize storage costs, increase scalability and enhance performance. Non-relational database processes also help enable a more modular, extensible and flexible approach to data integration.

Our high quality integration/ETL architecture is:

  • Fully auditable
  • Flexible
  • Scalable
  • Recoverable
  • Operable

ETL best practices, outlined in The Data Warehouse ETL Toolkit, authored by Ralph Kimball and Joe Caserta, the founder for Caserta Concepts allows our ETL specialists to add unprecedented value to data warehouse projects as they extract, clean, consolidate and deliver data between operational data sources and your analytics platform.

Speak to our experts today to find out how we can help your business through our data integration/ETL solutions.