DTIM organised a 4-days, 12-hours seminar about "Big Data Architecture and Design Principles". The seminar included 2-days of theory and 2-days hands-on training about big data evolving architectures, stream-processing in Apache Kafka and Flink, in addition to parallel processing architectures in Apache Spark. The students from the Barcelona School of Informatics (FIB) were able to experience first-hand the different challenges of big data processing, including batch and stream processing, from a theoretical and a practical perspective.

Description
    Big Data Architecture and Design training teaches the basic concepts
    and details to take into account when designing a Big Data
    Architecture. The trainees will learn the impact of technical and
    functional constraints on the storage and processing choices. Going
    further the course will show, through industrial use cases, the
    raise of new architecture patterns. The course includes a practical
    part with hands-on session on distributed framework. The trainees
    will learn how to prepare the data and how to process data in batch
    and in real time.