Topics

Topics (non-exhaustive list) : 

•      Architectures and design of data warehouses

•      Extract, transform, load (ETL)

•      Physical organization of data warehouses

•      Multidimensional modeling

•      Online Analytical Processing (OLAP)

•      Maintenance and administration of data warehouses

•      Performance optimization and tuning, benchmarks

•      Data lakes

•      NoSQL databases

•      Big data: integration, modelling, quality and integrity

•      Text data, graphics, data streams

•      Linked data, semantic web, ontologies

•      Distributed environments: Hadoop, Spark, Flink

•      Big data engineering: virtualization, elasticity, distributed computing, big data frameworks

•      High performance/parallel computing, emerging hardware architectures

•      Distributed Data Warehouses

•      Cloud data integration

•      NoSQL & OLAP repositories

•      BI in the cloud

•      Cloud BI Security

•      Data mining and machine learning

•      Seeking information

•      Social media analysis

•      Data visualization

•      Real-time, right-time and event analysis

•      Analysis of temporal, spatial, spatio-temporal and mobile data

•      Integration of artificial intelligence in data warehouses and the cloud

•      Internet of things

•      Power-efficient computing for big data

•      Applications: Environment, health, society, etc.