Cutting Costs on ETL and Data Integration
It’s no news that companies of all sizes today strive to deliver their products and services faster and to manage more complicated marketing programs, while the budget for that only decreases. In terms of that aspiration, having the right data integration and data quality model proves critical.
My collegues at Apatar have recently released a white paper aiming to help organizations reduce ETL (Extract, Transform, and Load) and data integration costs by 80%. The white paper sets out a sound approach to data integration and ETL projects that can save companies a considerable amount of time, money, and efforts.
They discuss the Total Cost of Ownership of integration projects, break down the cost structure, and determine ways to cut each cost down. The paper also includes best practices and examples of how major companies saved on open source and data integration.