AWS Certified Data Analytics – Specialty (DAS-C01) Cert Prep: 1 Collection
1h 23mIntermediate2023-03-29
Authors
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