AWS Certified Data Analytics – Specialty (DAS-C01) Cert Prep: 1 Collection

AWS Certified Data Analytics – Specialty (DAS-C01) Cert Prep: 1 Collection

1h 23mIntermediate2023-03-29

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 first domain of the exam: Collection. Noah’s course maps to the exam topics: Determine the operational characteristics of the collection system; Select a collection system that handles the frequency, volume, and the source of data; and Select a collection system that addresses the key properties of data, such as order, format, and compression. If you’re considering taking the AWS Data Analytics (DAS-C01) exam, join Noah in the course to start your prep.

Skills covered

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

Concepts

Introduction

  • Overview
  • Technology prerequisites
  • Using SageMaker Studio Lab
  • Learn AWS CloudShell
  • The cloud developer workspace advantage
  • Prototyping AI APIs on AWS with CloudShell and Bash
  • Using AWS Cloud9 with Amazon CodeWhisperer

Determine the Operational Characteristics of the Collection System

  • Operationalizing a collection system
  • Job styles - Batch vs, streaming data

Select a Collection System That Handles the Frequency, Volume, and Source of Data

  • Data ingestion pipelines
  • AWS Batch demo
  • AWS Step Functions demo
  • Transform data in transit
  • Handing map reduce for ML

Select a Collection System That Addresses the Key Properties of Data

  • Installing a systems programming language Rust
  • Using Rust to collect S3 objects and summarize metadata
40,000 Toman