Google Professional Data Engineer certification course

• Titel: Google Professional Data Engineer certification course
• Titelzusatz: design, build, and operate data solutions on GCP
• Mitwirkende: Syal, Anuj [MitwirkendeR]
• 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 (2 hr., 55 min.))
• Illustrationen: sound, color.
• Fussnoten: Online resource; title from title details screen (O'Reilly, viewed December 16, 2024)
• Datenträger: Online-Ressource
• Sprache: eng
• Form-SW: Instructional films
• Form-SW: Nonfiction films
• Form-SW: Internet videos
• K10plus-PPN: 1914057880
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4648210662
• Lokale URL Inst.: Zum Volltext

Abstract

Dive into Google Cloud's Professional Data Engineer Certification to master the core concepts and tools essential for data engineering on the platform. This course is tailored for data engineers, data analysts, data scientists, solution architects, software engineers, and anyone looking to transition into machine learning and data engineering within the context of the Google Cloud Platform. Join industry expert Anuj Syal to learn GCP's robust big data processing and storage services, including BigQuery, Dataflow, and Dataproc. Additionally, delve into the powerful machine learning suite offered by the platform, including AutoML for automated model training and ML APIs for simplified integration of pre-trained models. You'll explore the intricacies of designing, building, and optimizing scalable data solutions while developing expertise in constructing resilient streaming analytics systems on Google Cloud.