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CY-703 (C) · Data Engineering/Official Syllabus

Data Engineering (CY-703 (C)) - Official Syllabus

1
Unit 1

Introduction to Data Engineering

  • Definition, Evolution, Life Cycle
  • Data Engineering skills and activities, Data Maturity
  • Data Lifecycle Versus the Data Engineering Lifecycle, Security, Data Management, DataOps
2
Unit 2

Source Systems and Data Ingestion

  • Types of Data Architecture, Data Lake, Data Lakehouses, Modern Data Stack
  • Lambda Architecture, Kappa Architecture
3
Unit 3

Data Platforms, Storage Architecture, Data Modeling

  • Data Platforms, Stream-to-Batch Storage Architecture, Data Catalog, Data Sharing
  • Data Modeling, Dimensional Modeling, Creating Tables, Schema Migration, Building the data warehouse
4
Unit 4

Data Ingestion, Business Intelligence Tools and Data Governance

  • Data Ingestion, SFTP and SCP, Webhooks, Web Interface, Web Scraping Business Intelligence Tools
  • Introduction to Superset, Creating visualizations
  • Data Quality, Data Catalogs, Data Lineage, and Data Governance
5
Unit 5

ETL, Security, Privacy, and the Future of Data Engineering

  • ETL, Reverse ETL, Security, Privacy, and the Future of Data Engineering
  • Patch and Update Systems, Logging, Monitoring, and Alerting

Reference Books

  • Fundamentals of Data Engineering — Joe Reis, Matt Housley — O'Reilly Media, Inc., June 2022
  • Data Engineering with Python: Work with Massive Datasets to Design Data Models and Automate Data Pipelines Using Python — Paul Crickard
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