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• Chapter 5 - Monitoring

  This section covers the following sections: - Monitoring - Define metadata - Define success and failure - Set alerts and reports - Challenge: Metadata collection - Solution: Metadata collection

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• Chapter 4 - Deployment

  This chapter covers the following sections: - Data quality checks - Unit testing - Data simulation - Introduction to Github Actions - Setting Github Actions - Challenge: Set data quality checks - Solution: Set data quality checks

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• Chapter 3 - Data Authomation

  This chapter includes the following sections: - Data requirements - Data pipeline architecture - Setting environment - Data structure - Setting Backfill - Data refresh process - Challenge: Backfill and refresh functions - Solution: Backfill and refresh functions

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• Chapter 2 - EIA API

  This chapter covers the following sections: - The EIA API - The EIA API Dashboard - Querying data - R client - Python client

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• Chapter 1 - Introduction

  This chapter includes the following sections: - Course info - Motivation - Tools - Problem Statement

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