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Architecting Data Warehouses for Large-Scale Deployments

This course covers performance optimization, cost control, and security for large-scale data warehousing deployments.

This course is designed for Data Warehousing practitioners responsible for managing Databricks environments serving hundreds or thousands of users across multiple business units. You will gain the skills necessary to efficiently scale data warehousing operations while maintaining high performance, cost-effectiveness, and compliance with security standards.


Note: Databricks Academy is transitioning to a notebook-based format for classroom sessions within the Databricks environment, discontinuing the use of slide decks for lectures. You can access the lecture notebooks in the Vocareum lab environment.

Skill Level
Associate
Duration
4h
Prerequisites

In this course, the content was developed for participants with these skills/knowledge/abilities:  

• SQL proficiency

• Data warehousing or Data platform architecture or management experience

• General cloud experience and understanding

Outline

1. Efficient Data Ingestion and Storage

• Data Architecture at Scale Introduction

• Data Warehouse Ingestion at Scale

• Demo: Ingestion and Transformation at Scale using Lakeflow

• Lab: Ingestion and Transformation using Lakeflow

• Lakehouse Federation and Foreign Catalogs


2. Multi-Workspace Strategy

• Databricks Accounts and Workspaces Overview

• Architecting for Multiple Workspaces

• Architecting Unity Catalog for Large Scale Environments

• Data Sharing in Large Scale Environments


3. Security and Governance at Scale

• Data Warehouse Enterprise Security

• Securing Data using Unity Catalog

• Demo: Implementing FGAC in UC

• Lab: Applying Governance at Scale using ABAC


4. Identity and Administration

• Databricks Identities

• Deploying Databricks Solutions in the Enterprise

• Demo: Deploying Solutions using DABs and GitOps

• Auditing and Monitoring Databricks

Upcoming Public Classes

Date
Time
Your Local Time
Language
Price
Nov 18
09 AM - 01 PM (America/Los_Angeles)
-
English
$750.00
Dec 16
01 PM - 05 PM (Europe/Paris)
-
English
$750.00
Jan 27
09 AM - 01 PM (Asia/Singapore)
-
English
$750.00
Jan 27
01 PM - 05 PM (America/New_York)
-
English
$750.00

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

Databricks Performance Optimization - Mandarin Chinese

Databricks Performance Optimization 课程教导数据工程师和分析师如何在 Databricks Data Intelligence Platform 上诊断、衡量和修复性能瓶颈,以及如何将性能提升与成本关联起来。本课程遵循"先衡量、先平台"的工作流:让平台的自动优化功能承担繁重工作,通过 Query Profile 和系统表验证已应用的优化,再在必要时进行手动调优。

学员将以 Query Profile、Performance Insights 和查询历史记录系统表为基础,学习如何衡量性能。在此基础上,他们将探索关键优化技术,包括数据布局与自调优托管表、liquid clustering、缓存与中间结果、shuffle、数据倾斜、溢出、行爆炸、驱动程序性能、Python UDF、serverless compute、Photon 以及成本归因。

在整个课程中,学员将针对合成零售数据中刻意设计的慢查询进行探索,观察不同优化技术对性能的影响。他们将利用文件裁剪、任务执行时间、Photon 覆盖率和成本等依据来评估优化效果。两个基于场景的实验室将强化从诊断到验证的完整优化工作流。

注意:Databricks Academy 正在将 Databricks 环境中的课堂教学转为基于 notebook 的形式,不再使用幻灯片进行授课。您可以在 Vocareum 实验环境中访问课程 notebook。

Languages Available: English | 日本語 | Português BR | 한국어 | Français | Español | 普通话

Paid
4h
Lab
instructor-led
Professional

Questions?

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