This document discusses big data architectures for analytical and operational use cases. It presents two main architectures:
1. Analytical big data architecture focuses on enriching structured data to optimize business processes. It involves ingesting data from various sources, enriching the data, and storing it in a distributed database for analysis.
2. Operational big data architecture processes both structured and unstructured data in real-time to innovate business operations. It ingests and combines batch and real-time data, stores the results in a real-time datastore, and provides real-time views and batch reports.
The document advises starting with pilot projects to test technologies and be prepared to change technologies as needed. It