In a modern analytics environment data warehouses must deliver more data than ever before to support right-time analytics and insights. For some enterprises this means reducing the end of day processing cycle, while for others it means delivering data in near real-time streams. However, the key to achieving this agility is to quickly harness complex data transformations that rapidly deliver the right data sets, at the right latencies, to the right people, at the right time.
Qlik Data Integration helps data architects simplify their transformation requirements to provide the flexibility to support multiple data velocities in near real-time for various data warehouse architectures.
This technical paper is a guide to understanding Qlik Data Integration warehouse modeling and transformation techniques and their impact on near real-time Change Data Capture (CDC) processing in an agile data warehouse environment.