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Get Started with Databricks for Data Warehousing

This course provides a comprehensive overview of Databricks’ modern approach to data warehousing, highlighting how a data lakehouse architecture combines the strengths of traditional data warehouses with the flexibility and scalability of the cloud. You’ll learn about the AI-driven features that enhance data transformation and analysis on the Databricks Data Intelligence Platform. Designed for data warehousing practitioners, this course provides you with the foundational information needed to begin building and managing high-performant, AI-powered data warehouses on Databricks.


Languages Available: English | 日本語 | Português BR한국어

Skill Level
Onboarding
Duration
2h
Prerequisites

The content was developed for participants with these skills/knowledge/abilities:  

  • A basic understanding of data warehousing principles and topics such as database administration, SQL, data manipulation, and storage.

Outline

Databricks Overview

Databricks Data Intelligence Platform
Databricks Workspace Walkthrough

Using Databricks for Data Warehousing


Introduction to Data Warehousing with Databricks
Databricks SQL Warehouses
Delta Lake Overview
Using Delta Lake features with Databricks SQL

Data Ingestion and Transformation

Delta Lake UniForm
Data Ingestion Techniques Overview
Data Ingestion Techniques
Data Transformation
Exploring Data Transformation in Databricks

Data Orchestration and Querying Capabilities

Orchestration in Databricks

Setting up and Managing Serverless Lakeflow Jobs

Databricks Querying Capabilities

Data Presentation

Introduction to AI/BI
Creating a Dashboard in Databricks

Creating AI/BI Genie Spaces

Data Warehousing Comprehensive Lab

Upcoming Public Classes

Date
Time
Language
Price
Jul 25
12 PM - 02 PM (Asia/Singapore)
English
Free
Aug 01
03 PM - 05 PM (Europe/London)
English
Free

Public Class Registration

If your company has purchased success credits or has a learning subscription, please fill out the Training Request form. Otherwise, you can register below.

Private Class Request

If your company is interested in private training, please submit a request.

See all our registration options

Registration options

Databricks has a delivery method for wherever you are on your learning journey

Runtime

Self-Paced

Custom-fit learning paths for data, analytics, and AI roles and career paths through on-demand videos

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Instructors

Instructor-Led

Public and private courses taught by expert instructors across half-day to two-day courses

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Learning

Blended Learning

Self-paced and weekly instructor-led sessions for every style of learner to optimize course completion and knowledge retention. Go to Subscriptions Catalog tab to purchase

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Scale

Skills@Scale

Comprehensive training offering for large scale customers that includes learning elements for every style of learning. Inquire with your account executive for details

Upcoming Public Classes

Data Engineer

Data Ingestion with Lakeflow Connect

This course provides a comprehensive introduction to Lakeflow Connect as a scalable and simplified solution for ingesting data into Databricks from a variety of data sources. You will begin by exploring the different types of connectors within Lakeflow Connect (Standard and Managed), learn about various ingestion techniques, including batch, incremental batch, and streaming, and then review the key benefits of Delta tables and the Medallion architecture.

From there, you will gain practical skills to efficiently ingest data from cloud object storage using Lakeflow Connect Standard Connectors with methods such as CREATE TABLE AS (CTAS), COPY INTO, and Auto Loader, along with the benefits and considerations of each approach. You will then learn how to append metadata columns to your bronze level tables during ingestion into the Databricks data intelligence platform. This is followed by working with the rescued data column, which handles records that don’t match the schema of your bronze table, including strategies for managing this rescued data.

The course also introduces techniques for ingesting and flattening semi-structured JSON data, as well as enterprise-grade data ingestion using Lakeflow Connect Managed Connectors.

Finally, learners will explore alternative ingestion strategies, including MERGE INTO operations and leveraging the Databricks Marketplace, equipping you with foundational knowledge to support modern data engineering ingestion.

Free
2h
Associate

Questions?

If you have any questions, please refer to our Frequently Asked Questions page.