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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

0. Introduction

  • 01 - Overview
  • 02 - Technology prerequisites
  • 03 - Using SageMaker Studio Lab
  • 04 - Learn AWS CloudShell
  • 05 - The cloud developer workspace advantage
  • 06 - Prototyping AI APIs on AWS with CloudShell and Bash
  • 07 - Using AWS Cloud9 with Amazon CodeWhisperer

1. Determine the Operational Characteristics of the Collection System

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

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

  • 10 - Data ingestion pipelines
  • 11 - AWS Batch demo
  • 12 - AWS Step Functions demo
  • 13 - Transform data in transit
  • 14 - Handing map reduce for ML

3. Select a Collection System That Addresses the Key Properties of Data

  • 15 - Installing a systems programming language Rust
  • 16 - Using Rust to collect S3 objects and summarize metadata

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