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Build a Modern Data Stack With dbt and Databricks

Monday, June 27 @8:00 AM

Overview

• Audience: SQL analysts, data analysts, business analysts, data engineers

• Duration: 1 half-day

• Hands-on labs: Yes



• Description: A modern data stack built on the lakehouse with Databricks and dbt greatly simplifies your data engineering to bring scale and performance to your data platform.




In this live, instructor-led hands-on workshop, you’ll follow a step-by-step guide to achieving production-grade data transformation using dbt Cloud with Databricks. You’ll build scalable transformation pipelines that you can trust with testing and documentation. You will learn to deploy these transformations, tests, and documentation on schedule to power analytics, BI, and ML.




You’ll learn how to:

• Leverage dbt to manage data transformations in Databricks through the SQL endpoint

• Transform data while building dependencies and managing environments

• Apply tests to transformations to ensure data quality

• Write and generate documentation of data models

• Orchestrate the transformation of data on a schedule or using the API

• Analyze your results using SQL queries on the data lake





Prerequisites:

• Basic familiarity with ANSI SQL

• No programming experience required

• No experience with Databricks or dbt required

Type

  • Training

Format

  • In-Person

Track

  • Training

Room

  • Moscone South | Upper Mezzanine | 160

Price

  • $100

Duration

  • Half-Day

Session Speakers

Headshot of Amy Chen

Amy Chen

dbt Labs

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