Lakebase App Integration and Management - Mandarin Chinese

在本课程中，您将学习如何将 Databricks Apps 与 Lakebase（Databricks 的全托管云原生 PostgreSQL 平台）集成，以构建安全且面向企业的应用程序工作流。在 Databricks Apps 和 Lakebase 基础知识之上，本课程重点介绍 PostgreSQL 基础、Lakebase Autoscaling、安全的 SQL 实践、安全的连接管理、基于角色的访问、Data API 集成以及基于分支的开发。您还将了解 AppKit 如何在此工作流中加速应用程序开发，帮助您更高效地从集成概念迈向实施。

注意：对于 SCORM 讲座文件，请确保在完成内容后关闭 SCORM 窗口。请勿点击‘Next Lesson’按钮，否则 SCORM 模块可能无法标记为已完成。

Skill Level

Associate

Duration

Prerequisites

本课程的内容面向具备以下技能、知识和能力的学员:

• Get Started with Lakebase

• 熟悉 Python 和 SQL

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Model Development at Scale

In this course, you will learn to design and implement machine learning workflows that scale from a single machine to distributed compute on Databricks. The curriculum is organized into three modules: foundations of model development (when and why to distribute, and how Spark executes work), scalable model development with Spark ML and MLflow, and distributed model training with Ray and PyTorch — closing with a framework for choosing the right tool for a given workload.

Through hands-on demos and labs, you will build distributed Spark ML pipelines using Transformers, Estimators, and the fit/transform paradigm; scale existing pandas code with the Pandas API on Spark; and track, compare, and govern experiments with MLflow 3 and Unity Catalog. You will then train models across a cluster with Ray Train and PyTorch (TorchDistributor and DeepSpeed), and learn to match each workload to the right framework based on data size, model size, hardware, and cost.

The course concludes with a capstone that takes a problem end to end — engineering features, training a model at scale, tracking it with MLflow, and registering it in Unity Catalog with a governance alias. (Production deployment, serving, and monitoring are covered in the separate Advanced MLOps course.)

By the end, you will be able to choose, build, and justify distributed, reproducible, and governed model-development workflows on Databricks.

Note: For SCORM lecture files, please ensure that you close the SCORM window after completing the content. Do not click the ‘Next Lesson’ button, as doing so may prevent the SCORM module from being marked as complete.

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Professional

Data Engineer

Get Started with Data Governance on Databricks - Mandarin Chinese

在本课程中，您将通过动手演示和综合实验室，浏览 Unity Catalog 并了解 Databricks 上的细粒度访问控制。您将学习表类型、目录和架构配置、基于组的访问管理以及访问控制迁移策略。本课程包含以下演示：应用基于行级安全和列掩码的细粒度访问控制、基于属性的访问控制、组合控制、迁移控制，以及一个用于全面治理实施的实验室。

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

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Onboarding