Big Data Management
Ν. Πελέκης, Γ. Παπαστεφανάτος. Εργ. βοηθοί: Γ. Αλεξίου, Σ. Μαρούλης
Introduction – review of relational and object-relational databases. Modern trends in database design. Non-traditional data types (text, multimedia, spatial information). Non-traditional database architecture (sensor networks, data streams, distributed, in the cloud). The “big data” era (MapReduce architecture, etc.). Lab hours with MongoDB, Spark (Batch Processing, Streaming, MLib).
ΛιγότεραIntroduction – review of relational and object-relational databases. Modern trends in database design. Non-traditional data types (text, multimedia, spatial information). Non-traditional database architecture (sensor networks, data streams, distributed, in the cloud). The “big data” era (MapReduce architecture, etc.). Lab hours with MongoDB, Spark (Batch Processing, Streaming, MLib).
Introduction – review of relational and object-relational databases. Modern trends in database design. Non-traditional data types (text, multimedia, spatial information). Non-traditional database architecture (sensor networks, data streams, distributed, in the cloud). The “big data” era (MapReduce architecture, etc.). Lab hours with MongoDB, Spark (Batch Processing, Streaming, MLib).
