Reengineering of a Big Data architecture for real-time ingestion and data analysis

The thesis work has the aim to analyze the role covered by Big Data solutions in modern architectures and to provide a solution to a reengineering problem. All the work is focused on: - Reengineering of the Real Time Ingestion Layer, based on Kafka Stream and StreamSets - Realization of an Analytic Layer, CRUD compliant, based on Apache Kudu - Study and comparison of the Hadoop Query Layer: Hive vs Impala vs Kudu