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1
Introduction
2
Traditional Data Lake Challenges
3
Lake House Architecture
4
Modern Data Architecture
5
Reference Architecture
6
Use Case
7
Demo Setup
8
Ingest
9
Reference Data
10
Language Codes
11
Conclusion
Description:
Explore building end-to-end Delta pipelines on Google Cloud Platform in this 27-minute Databricks video. Learn how Delta addresses traditional data lake challenges and powers production pipelines at scale for Data and AI use cases. Discover the Lake House Architecture and Modern Data Architecture concepts. Follow along with code examples and notebooks to construct a Delta Pipeline using the Bronze-Silver-Gold architecture pattern. See how to consume Delta files using the Big Query Connector. Gain insights into reference architectures, use cases, and demo setups for ingesting reference data and language codes. Understand how Delta enhances data reliability, storage, and query performance for both batch and streaming scenarios, while enabling fast interactive queries for BI and machine learning applications.

Building End-to-End Delta Pipelines on GCP

Databricks
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