Data Federation vs. Data Centralization
Organizations deal with huge data sets from multiple sources. Often data consolidation is used to consolidate data using ETL tools into large single data lakes. The downside of this approach is high costs and high complexity, which leads to complex data integration processes. New cloud applications often introduce isolated methods, tied to closed cloud services. Data federations, including in situ data processing, provide a solution to address data access issues and reduce complexity of data integration.