Getting Started with Delta Live Tables
Delta Live Tables (DLT) is a powerful framework from Databricks designed for building reliable, maintainable, and testable data pipelines. This guide will walk you through creating your first DLT pipeline using the NYC taxi dataset, showcasing the medallion architecture and implementing data quality checks.
### Key Features of Delta Live Tables:
- Declarative Pipeline Creation: Instead of detailing every step, you describe the desired transformations. DLT automatically manages the underlying infrastructure.
- Streaming and Batch Processing: DLT supports both streaming tables for real-time data ingestion and materialized views for precomputed results.
### Example Pipeline Overview
In this example, we’ll create a pipeline that processes NYC taxi trip data through three layers:
1. Bronze Layer: Ingest raw data with basic quality checks to ensure trip distances are positive.
2. Silver Layer: Create two tables—one identifying suspicious rides based on fare and distance criteria, and another calculating weekly averages.
3. Gold Layer: Present the top three highest-fare rides by combining information from the Silver layer.
### Steps to Create Your Pipeline
1. Set Up Your Environment: Start by creating a new pipeline in your Databricks workspace.
2. Define Your Tables:
- Use SQL or Python to define your streaming tables and materialized views.
- For example, create a streaming table for raw taxi records that continuously ingests new data.
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3. Implement Data Quality Expectations: Define quality checks directly in your pipeline to ensure data integrity throughout the process.
### Monitoring and Visualization
Once your pipeline is running, you can monitor its performance and visualize lineage through the Databricks UI. This allows you to inspect sample data and track how it flows through each layer of your architecture.
By leveraging Delta Live Tables, you can streamline your ETL processes while ensuring high-quality data that drives valuable insights for your organization.
Ready to transform your data workflows? Dive into the hands-on tutorial on [Databricks](https://www.databricks.com/discover/pages/getting-started-with-delta-live-tables) to get started!
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