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AWS Certified Data Analytics – Specialty (DAS-C01) Cert Prep: 3 Processing

AWS Certified Data Analytics – Specialty (DAS-C01) Cert Prep: 3 Processing

1h 11mIntermediate2023-03-30

Authors

Noah Gift

Noah Gift

MLOps Expert | Solopreneur | Author | Adjunct Professor | CTO

Course details

The AWS Certified Data Analytics credential helps organizations identify and develop talent with critical skills for implementing cloud initiatives. Earning AWS Certified Data Analytics – Specialty certification validates expertise in using AWS data lakes and analytics services to get insights from data. In this course, Noah Gift focuses on the third domain of the exam: Processing. Join Noah as he examines the aspects of data processing you need to know to pass this section of the exam, including how to: determine appropriate data processing solution; design a solution for transforming and preparing data for analysis; and automate and operationalize data processing solutions.

Skills covered

Data EngineeringAmazon Web Services (AWS)AmazonCloud ServicesData AnalysisCloud PlatformsCert PrepCloud ComputingData ScienceBusiness Analysis and StrategyBusiness Software and Tools

Concepts

1. Determine Appropriate Data Processing Solution Requirements

  • 01 - Introduction to domain
  • 02 - Key concepts for Kubernetes
  • 03 - Kubernetes clusters
  • 04 - Kubernetes pods
  • 05 - Kubernetes service deployments
  • 06 - Running minikube
  • 07 - Running minikube with FastAPI
  • 08 - Building tiny containers
  • 09 - AWS App Runner API
  • 10 - PyTorch, FastAPI, and App Runner
  • 11 - AWS App Runner with C#
  • 12 - Options for container orchestration
  • 13 - AWS ECS Fargate for .NET
  • 14 - Load testing with Locust
  • 15 - SRE mindset for MLOps
  • 16 - Compute choices
  • 17 - Provisioning EC2

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