This guide demonstrates how to build a modern data lakehouse architecture using open source tools for real-time data processing and analytics. You’ll learn to set up a complete big data pipeline that captures database changes, streams them through Kafka, stores them in object storage (S3-compatible), and processes them with Apache Spark and Delta Lake.
Your download will include the walkthrough guide plus the files you’ll need to complete the tutorial.
You’ll also need:
- Docker installed on your system
- Access to an S3-compatible object storage (OpenStack Swift with S3 API, Ceph, MinIO, etc.)
- Basic familiarity with command line operations
- 8GB+ RAM recommended for running all services
Download ‘Open Source Lakehouse Demo Guide’
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