In today’s data-driven world, building scalable and efficient data applications is crucial for staying ahead in business and technology. This course explores the power of Databricks Lakehouse, a unified platform for managing and analyzing large volumes of data, and guides you through essential skills to create modern data applications.
Building Modern Data Applications Using Databricks Lakehouse
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您将学到什么
Deploy near-real-time data pipelines using Delta Live Tables
Orchestrate data pipelines with Databricks workflows
Implement data validation and monitor data quality
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December 2025
作业
10 项作业
授课语言：英语（English）
了解顶级公司的员工如何掌握热门技能
该课程共有10个模块
In this section, we explore real-time data pipelines with Delta Live Tables (DLT), analyze Delta Lake architecture, and design scalable streaming solutions for lakehouse environments
涵盖的内容
2个视频6篇阅读材料1个作业
In this section, we cover ingesting data with DLT, applying changes, and configuring pipelines for scalability.
涵盖的内容
1个视频6篇阅读材料1个作业
In this section, we explore implementing data quality expectations in DLT pipelines, validating data integrity with temporary datasets, and quarantining poor-quality data for correction.
涵盖的内容
1个视频4篇阅读材料1个作业
In this section, we cover scaling DLT pipelines through cluster optimization, autoscaling, and Delta Lake techniques.
涵盖的内容
1个视频4篇阅读材料1个作业
In this section, we explore implementing data governance in a lakehouse using Unity Catalog, focusing on access controls, data discovery, and lineage tracking for compliance and security.
涵盖的内容
1个视频7篇阅读材料1个作业
In this section, we cover managing data storage locations in Unity Catalog with secure governance and access control.
涵盖的内容
1个视频3篇阅读材料1个作业
In this section, we explore data lineage in Unity Catalog, tracing origins, visualizing transformations, and identifying dependencies to ensure data integrity and proactive issue detection.
涵盖的内容
1个视频3篇阅读材料1个作业
In this section, we cover deploying and managing DLT pipelines using Terraform in Databricks.
涵盖的内容
1个视频4篇阅读材料1个作业
In this section, we explore Databricks Asset Bundles (DABs) for streamlining data pipeline deployment, emphasizing GitHub integration, version control, and cross-team collaboration.
涵盖的内容
1个视频4篇阅读材料1个作业
In this section, we explore monitoring data pipelines using Databricks, focusing on health, performance, and data quality. Techniques include DBSQL alerts and webhook triggers for real-time issue resolution.
涵盖的内容
1个视频4篇阅读材料1个作业
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常见问题
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
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