Big Public Data aus dem Programmable Web : HMD Best Paper Award 2019 /: HMD Best Paper Award 2019. (2020)

• Record Type: Book
• Further Information: Note: Ulrich Matter.
• Authors: Matter, Ulrich
• Contents: Einleitung.- Chancen: Datengenerierung und Datenqualität.- Herausforderungen: Webtechnologien und Variabilität der Daten.- Konzeptioneller Lösungsansatz: Data pipelines.- Fallstudie: Religion in der US Politik.- Replizierbarkeit und Verifizierbarkeit der Datensammlung.- Diskussion und Ausblick.
• Edition: 1. Aufl. 2020
• Publisher Details: Wiesbaden : Springer Vieweg
• Publication Date: 2020
• Copyright Date: 2020
• Extent: 1 online resource (33 pages)
• Subjects: Computer science; Big data; Application software; Computers -- Computer Science; Computers -- Data Processing; Computer science; Information technology: general issues; Computers -- Database Management -- General; Databases
• Languages: German
• ISBNs: 9783658315849
• Related ISBNs: 9783658315832
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.