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Databricks Get Started Days (Lakehouse Architecture + Data Warehousing)

Get Started with Lakehouse Architecture on Databricks


In this course, you will explore the Databricks Data Intelligence Platform from the perspective of platform architecture, specifically related to the platform foundation in lakehouse architecture. You will learn about the scope, vision, and capabilities of a platform founded in lakehouse architecture, with a focus on how Databricks integrates with a cloud platform’s architecture. You’ll learn about the key features of a successful lakehouse implementation, specifically how to adhere to the well-architected lakehouse framework, which emphasizes structural excellence through specific dimensions, principles and best practices. You’ll also learn about data architecture strategy for the acceleration of data and AI endeavors.


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.


This course is designed for those starting out in data warehousing and those who would like to execute data warehousing workloads on Databricks. Participants may also include data warehousing practitioners who are familiar with traditional data warehousing techniques and concepts and are looking to expand their understanding of how data warehousing workloads are executed on Databricks.


You can create a Databricks Free Edition account and try the follow-along demos in a hands-on environment.

Skill Level
Onboarding
Duration
4h
Prerequisites

Get Started with Lakehouse Architecture on Databricks

• A basic understanding of data engineering principles and topics such as data collection, extraction, ingestion, and transformation.

• Prior experience in data platform solutions architecture or similar areas of study.


Get Started with Databricks for Data Warehousing

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

Outline

Get Started with Lakehouse Architecture on Databricks

Databricks Overview
Databricks Infrastructure
Databricks Data Intelligence Platform
Unity Catalog Overview
Databricks Workspace Walkthrough

Exploring Lakehouse Architecture
The Scope of Lakehouse Architecture
The Modern Data and AI Platform
Exploring the Guiding Principles of the Lakehouse

Building a Well-Architected Lakehouse
Integrating Databricks with Cloud Provider Environments
A Well-Architected Lakehouse Framework
Data Architecture Strategies


Get Started with Databricks for Data Warehousing

Databricks Overview
Databricks Infrastructure
Databricks Data Intelligence Platform
Unity Catalog Overview
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 Workflows
Databricks Querying Capabilities

Data Presentation
Introduction to AI/BI
Creating a Dashboard in Databricks
Creating Genie Spaces

Data Warehousing Comprehensive Lab

Upcoming Public Classes

Date
Time
Your Local Time
Language
Price
Sep 29
09 AM - 01 PM (America/Los_Angeles)
-
English
Free
Oct 22
11 AM - 03 PM (Asia/Singapore)
-
English
Free
Oct 27
01 PM - 05 PM (Europe/London)
-
English
Free
Oct 29
09 AM - 01 PM (America/Los_Angeles)
-
English
Free
Nov 19
11 AM - 03 PM (Asia/Singapore)
-
English
Free
Nov 20
09 AM - 01 PM (America/Los_Angeles)
-
English
Free
Nov 24
01 PM - 05 PM (Europe/London)
-
English
Free
Dec 10
11 AM - 03 PM (Asia/Singapore)
-
English
Free
Dec 15
01 PM - 05 PM (Europe/London)
-
English
Free
Dec 16
09 AM - 01 PM (America/Los_Angeles)
-
English
Free
Jan 21
11 AM - 03 PM (Asia/Singapore)
-
English
Free
Jan 26
01 PM - 05 PM (Europe/London)
-
English
Free
Jan 27
09 AM - 01 PM (America/Los_Angeles)
-
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 - Mandarin Chinese

本课程全面介绍 LakeFlow Connect——一种可扩展且简便的解决方案,用于将来自各种来源的数据摄取到 Databricks 中。您将首先浏览 LakeFlow Connect 连接器的不同类型(标准型和托管型),并学习各种数据摄取技术,包括批处理摄取、增量批处理摄取和流式处理摄取。您还将了解使用 Delta 表和金银铜架构的主要优势。

接下来,您将培养使用 LakeFlow Connect 标准连接器从云对象存储摄取数据的实践技能。这包括使用 CREATE TABLE AS SELECT(CTAS)、COPY INTO 和 Auto Loader 等方法,并重点介绍每种方法的优势和注意事项。您还将学习如何在将数据摄取到 Databricks Data Intelligence Platform 的过程中,向铜层表追加元数据列。课程随后介绍如何使用救援数据列处理与表架构不匹配的记录,以及管理和分析此类数据的策略。您还将探索摄取和展平半结构化 JSON 数据的技术。

此后,您将探索如何使用 LakeFlow Connect 托管连接器执行企业级数据摄取,以引入来自数据库和软件即服务(SaaS)应用程序的数据。课程还将介绍 Partner Connect,作为将合作伙伴工具集成到摄取工作负载中的一种选项。

最后,课程以替代摄取策略作为总结,包括 MERGE INTO 运营以及利用 Databricks Marketplace,为您奠定坚实的基础,以支持现代数据工程用例。

注意:对于 SCORM 课程文件,请确保完成内容后关闭 SCORM 窗口。请勿点击“下一课”按钮,否则可能导致 SCORM 模块无法标记为已完成。

Free
2h
Associate

Questions?

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