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 Online-Ressource
Titel:How to use generative AI to create a knowledge-base from internal documentation
Mitwirkende:Lu, Hugo [PräsentatorIn]   i
Institutionen:O'Reilly (Firm), [Verlag]   i
Ausgabe:[First edition].
Verlagsort:[Sebastopol, California]
Verlag:O'Reilly Media, Inc.
E-Jahr:2024
Jahr:[2024]
Umfang:1 online resource (1 video file (7 min.))
Illustrationen:sound, color.
Gesamttitel/Reihe:Shortcuts
Fussnoten:Online resource; title from title details screen (O’Reilly, viewed August 5, 2024)
Abstract:In this video shortcuts collection, you as a data engineer will leverage GenAI to automate mundane tasks such as data integration, quality assurance, and ETL processes, freeing up time to focus on more strategic initiatives. Additionally, tools like GitHub and Data Copilots can assist with code generation, enabling quicker development, testing, and optimization of data pipelines. Another benefit lies in data augmentation, where GenAI helps in creating synthetic data points for improving data privacy and security measures. Moreover, integrating GenAI into data catalogs enhances data discovery capabilities, allowing data engineers to tackle complex questions about data assets more effectively. While GenAI is not positioned to replace data engineers entirely, it significantly augments their abilities, making them more efficient and productive in handling daily tasks by automating repetitive work and bolstering their data management skills.
URL:Aggregator: https://learning.oreilly.com/library/view/-/0642572045708/?ar
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:Bases de données ; Conception
 Intelligence artificielle
 artificial intelligence
 Instructional films
 Nonfiction films
 Internet videos
 Films de formation
 Films autres que de fiction
 Vidéos sur Internet
K10plus-PPN:1900847884
 
 
Lokale URL UB: Zum Volltext
 
 Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
 Klinikum MA Bestellen/Vormerken für Benutzer des Klinikums Mannheim
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Bibliothek/Idn:UW / m4573897399
Lokale URL Inst.: Zum Volltext

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