Building Data Lakes on AWS
REF: BDAWS Catálogo: AWS Área: Data Anayst Path
Duração:
1 dia
Próxima Data:
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Descrição
The course delves into the Amazon Redshift service and current thinking in building and managing data analytics pipelines to turn data into insights. You can ask questions and get real-time feedback from expert AWS instructors that you can immediately apply to your own data analytics solutions. You’ll build a data warehouse analytics workflow based on a real-world scenario with content learned through exercises, hands-on labs, discussions, demonstrations, presentations, and group exercises.
*PVP por participante. A realização do curso nas datas apresentadas está sujeita a um quórum mínimo de inscrições.
Destinatários
- Data Warehouse Engineers
- Data Platform Engineers
- Architects and operators who build and manage data analytics pipelines
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Área: AWS
Programa:
What you will learn:
- Compare the features and benefits of data warehouses, 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 for ingesting, transforming, and storing data
- Choose the appropriate instance and node types, clusters, autoscaling, and network topology for a particular business use case
- And much more
Pré-requisitos:
- Completed AWS Technical Essentials or Architecting on AWS
- Building Data Lakes on AWS
Partilha:
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