When will I have access to the lectures and assignments?

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

What will I get if I subscribe to this Specialization?

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Apply Data Lake Transactions & Versioning

Coursera PlusMonthly 3 个月课程4 折优惠 ，让你轻松掌握闪耀技能。立即节省

Apply Data Lake Transactions & Versioning

本课程是多个项目的一部分。

位教师：Hurix Digital

包含在中

了解更多

2个模块

深入了解一个主题并学习基础知识。

初级等级

推荐体验

2 小时完成

灵活的计划

自行安排学习进度

2个模块

深入了解一个主题并学习基础知识。

初级等级

推荐体验

2 小时完成

灵活的计划

自行安排学习进度

您将学到什么

Transactional storage layers ensure data lake reliability, supporting concurrent operations and maintaining integrity.
Version control in data lakes enables auditing, compliance, time-travel queries, and error recovery for production systems.
Schema evolution strategies help data systems adapt to business changes while maintaining backward compatibility.
Converting raw files to transactional formats is a key pattern supporting both analytics and operational reliability.

您将获得的技能

您将学习的工具

Data Lakes

要了解的详细信息

可分享的证书

添加到您的领英档案

了解顶级公司的员工如何掌握热门技能

了解关于 Coursera for Business 的更多信息

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

积累特定领域的专业知识

此课程作为的一部分提供

在注册此课程时，您还需要选择一个特定的合作项目。

向行业专家学习新概念
获得对主题或工具的基础理解
通过实践项目培养工作相关技能
获得可共享的职业证书

该课程共有2个模块

Transform your raw data files into robust, auditable data lake tables with database-like guarantees. This Short Course was created to help data professionals accomplish reliable data lake management with transactional integrity and versioning capabilities.

By completing this course, you'll be able to convert existing data files into transactional formats, execute atomic operations that ensure data integrity during concurrent jobs, query historical versions for auditing and recovery, and manage schema evolution safely—all skills you can apply immediately to your data pipelines. By the end of this course, you will be able to: - Apply transactional and versioning features to data lake tables This course is unique because it focuses on hands-on implementation of data lake reliability patterns using open-source tools, bridging the gap between raw cloud storage and enterprise-grade data management. To be successful in this course, you should have a background in basic SQL and data file formats.

单元详情

Learners will understand why transactional features are essential for data lake reliability, explore the fundamental concepts of ACID transactions and versioning, and learn how to convert existing Parquet tables to transactional Delta format.

涵盖的内容

2个视频1篇阅读材料2个作业

2个视频总计12分钟

Understanding ACID Transactions and Versioning in Data Lakes8分钟
Converting Parquet Tables to Delta Format5分钟

1篇阅读材料总计10分钟

Delta Lake Architecture and Transaction Log Mechanics10分钟

2个作业总计33分钟

Implementing Transactional and Versioning Features in Data Lake Tables30分钟
Transactional and Versioning Features Knowledge Check3分钟

Learners will execute atomic write and delete operations with conditions, query historical table versions for audit purposes, verify rollback capabilities through version history, and demonstrate mastery through hands-on lab work and comprehensive assessment.