Zimányi Business Intelligence and Big Data

7th European Summer School, eBISS 2017, Bruxelles, Belgium, July 2–7, 2017, Tutorial Lectures
Erscheinungsjahr 2018
ISBN: 978-3-319-96655-7
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 324, 155 Seiten, eBook

Reihe: Lecture Notes in Business Information Processing

This book constitutes revised tutorial lectures of the 7th European Business Intelligence and Big Data Summer School, eBISS 2017, held in Bruxelles, Belgium, in July 2017. The tutorials were given by renowned experts and covered advanced aspects of business intelligence and big data. This summer school, presented by leading researchers in the field, represented an opportunity for postgraduate students to equip themselves with the theoretical, practical, and collaboration skills necessary for developing challenging business intelligence applications.

Zielgruppe

Research

Autoren/Hrsg.

Zimányi, Esteban

Inhaltsverzeichnis

An Introduction to Data Profiling.- Programmatic ETL.- Temporal Data Management - An Overview.- Historical Graphs: Models, Storage, Processing.- Three Big Data Tools for a Data Scientist's Toolbox.- Let's open the black box of deep learning.