The document discusses different technologies used in big data architectures including flat files, XML files, relational databases, multiple input data sources, Sqoop, Flume, Kafka, Spark, MapReduce and Python for processing large datasets, and various reporting and visualization tools like Tableau, QlikView, and SAP WebI for analyzing and viewing results from big data systems supporting many applications.