Implementation of Enterprise API Data Extraction & Ingestion using PySpark
Group: Business Requirement
|Product Category: Cloud & Data Engineering
|Sub Category: Apache Spark
About this Product
Implementation of REST API Data Extraction & Ingestion using PySpark is a practical implementation guide that teaches you how to build a production-ready REST API ingestion framework using PySpark and HTTPS.
This guide demonstrates how to extract data directly from REST APIs and ingest it into the RAW (Bronze) layer of modern data engineering platforms, including Microsoft Fabric, Databricks, Snowflake, BigQuery, Synapse, or any Lakehouse environment. You'll implement a configuration-driven ingestion process that automatically pulls data from multiple endpoints while handling authentication, pagination, rate limiting, retries, and audit logging.
Product Highlights:
- Build a reusable REST API ingestion framework using PySpark.
- Pull data from multiple API endpoints using configuration.
- Implement OAuth2 authentication and automatic token refresh.
- Handle pagination, rate limiting, retries, and resilient API calls.
- Preserve raw JSON payloads with audit metadata and reconciliation.
- Learn secure, scalable, and fault-tolerant API ingestion practices.
By completing this guide, you will:
- Build scalable REST API ingestion pipelines using PySpark.
- Implement authentication, pagination, and endpoint orchestration.
- Optimize API extraction with rate limiting and retry strategies.
- Apply enterprise best practices for security, monitoring, and validation.
- Develop reusable API ingestion frameworks for multiple platforms.
Why this project matters:
REST APIs are a primary data source for modern data engineering. This guide teaches industry-standard techniques for building secure, scalable, and resilient API ingestion frameworks that efficiently extract data while respecting authentication, pagination, and rate limits—skills expected in modern Data Engineering roles.
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