The course dives deep into the Amazon Redshift service and the current thinking in building and operating data analytics pipelines to turn data into insights. You can ask questions and get real-time feedback from expert AWS instructors to immediately apply to your data analytics solutions. You’ll build a data warehouse analytics workflow based on a real-world scenario with the content learned through tutorials, hands-on labs, discussion, demonstration, presentations, and group exercises.
Zielgruppen
Data warehouse engineers
Data platform engineers
Architects and operators who build and manage data analytics pipelines
Vorkenntnisse
Completed either AWS Technical Essentials or Architecting on AWS
Completed Building Data Lakes on AWS
Detail-Inhalte
Compare the features and benefits of data warehouse, data lakes, and modern data architectures
Design and implement a data warehouse analytics solution
Identify and apply appropriate techniques, including compression, to optimize data storage
Select and deploy appropriate options to ingest, transform, and store data
Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case
Trainings Übersicht
Rabatte, Aktionen und Förderungen
Lighthouse Expert Series
Lernformen
Feedback
Garantie
Hotels
Restaurants
Test Center
Dig-CERT
IT-Zertifizierungen für Schulen
Microsoft
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Amazon AWS
LPI
ITIL
Citrix
Cisco
Red Hat
VMware
Raum Miete
Videoproduktion
Job-Screening
Job-Matching
Über ETC
Qualität
Standorte & Öffnungszeiten
Team
Karriere
Nachhaltigkeit
Presse
FAQ
Benefits
Newsletter
Microsoft Gold Learning Partner