Data engineering on Azure

• Titel: Data engineering on Azure
• Mitwirkende: Riscutia, Vlad [VerfasserIn]
• Institutionen: Manning Publications, [Verlag]
• Verf.angabe: Vlad Riscutia
• Ausgabe: [First edition].
• Verlagsort: [Shelter Island, New York]
• Verlag: Manning Publications
• E-Jahr: 2021
• Jahr: [2021]
• Umfang: 1 online resource (1 video file (8 hr., 14 min.))
• Illustrationen: sound, color.
• Fussnoten: "In video editions the narrator reads the book while the content, figures, code listings, diagrams, and text appear on the screen. Like an audiobook that you can also watch as a video.". - Online resource; title from title details screen (O’Reilly, viewed October 28, 2024)
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Bases de données ; Gestion
• Sach-SW: Instructional films
• Sach-SW: Nonfiction films
• Sach-SW: Internet videos
• Sach-SW: Films de formation
• Sach-SW: Films autres que de fiction
• Sach-SW: Vidéos sur Internet
• K10plus-PPN: 1910534544
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4629578323
• Lokale URL Inst.: Zum Volltext

Abstract

In Data Engineering on Azure you’ll learn the skills you need to build and maintain big data platforms in massive enterprises. This invaluable guide includes clear, practical guidance for setting up infrastructure, orchestration, workloads, and governance. As you go, you’ll set up efficient machine learning pipelines, and then master time-saving automation and DevOps solutions. The Azure-based examples are easy to reproduce on other cloud platforms.