Data Superstream

• Titel: Data Superstream
• Titelzusatz: Becoming a data engineer
• Mitwirkende: Housley, Matthew L. [PräsentatorIn]
• Mitwirkende: Petrella, Andy [PräsentatorIn]
• Mitwirkende: Virtanen, Eevamaija [PräsentatorIn]
• Mitwirkende: Polak, Adi [PräsentatorIn]
• Mitwirkende: Danushka, Dunith [PräsentatorIn]
• Mitwirkende: Tartow, Colleen [PräsentatorIn]
• Mitwirkende: Waibel, Xinran [PräsentatorIn]
• Mitwirkende: Karau, Holden [PräsentatorIn]
• Mitwirkende: Joseph, Jowanza [PräsentatorIn]
• Institutionen: O'Reilly (Firm), [Verlag]
• Ausgabe: [First edition].
• Verlagsort: [Sebastopol, California]
• Verlag: O'Reilly Media, Inc.
• E-Jahr: 2024
• Jahr: [2024]
• Umfang: 1 online resource (1 video file (3 hr., 41 min.))
• Illustrationen: sound, color.
• Fussnoten: Online resource; title from title details screen (O’Reilly, viewed October 21, 2024)
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Bases de données ; Conception ; Orientation professionnelle
• Sach-SW: Bases de données ; Gestion ; Orientation professionnelle
• Sach-SW: Technologie de l'information ; Orientation professionnelle
• 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: 1910510386
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4629556710
• Lokale URL Inst.: Zum Volltext

Abstract

This Superstream brings together an amazing slate of data industry experts and O’Reilly authors to enrich your professional journey with personal experiences, real-world insights, critical skills, and best practices. Whether you’re an experienced engineer looking to expand your knowledge of tools, technologies, and techniques, or you’re just considering the leap into a new career, you’ll come away from this conference with valuable new ideas and perspectives. You’ll hear from Andy Petrella (author of Fundamentals of Data Observability) on the critical role of data engineers in maintaining data integrity to prevent misinformation and manipulation in the age of AI; Eevamaija Virtanen (founder of Helsinki Data Week) on getting a first job and building a career; Adi Polak (author of Scaling Machine Learning with Spark) on stream processing patterns and open source software; Dunith Danushka (senior developer advocate at Redpanda Data) on building composable data platforms; Colleen Tartow (field CTO at VAST Data) on her career journey from astrophysics to engineering leadership; Xinran Waibel (founder of the Data Engineer Things Community) on the path to becoming a senior engineer; Holden Karau (author of five O’Reilly books) on concrete applications of data engineering to healthcare; and Jowanza Joseph (author of Mastering Apache Pulsar) on applying generative AI to data engineering problems.