An Introduction to Delta Lake

Course Feature
  • Cost
    Paid
  • Provider
    Udemy
  • Certificate
    Paid Certification
  • Language
    English
  • Start Date
    2021-11-15
  • Learners
    No Information
  • Duration
    No Information
  • Instructor
    Bhavuk ChawlaDataCouch Support Team
Next Course
3.9
1,437 Ratings
Explore the power of Delta Lake with this comprehensive course! Delta Lake is an open source storage layer that provides reliability to data lakes, enabling ACID (Atomicity, Consistency, Integrity and Durability) properties, scalable metadata handling, and unifying streaming and batch data processing. Learn how to integrate Delta Lake with Big Data Frameworks like Spark, Presto, Athena, Redshift, Snowflake and more. The experienced instructors will guide you through the course agenda, which includes challenges with Delta Lake, key Big Data Architectures, Delta Architecture, Delta Lake Demo and more. Enroll now and become a Delta Lake expert!
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Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 17th, 2023]

Learners of this course can gain experience and expertise in Delta Lake, a unique solution for providing ACID compliance to Data Lakes built using Hadoop framework. They will learn about the challenges with Delta Lake, key Big Data Architectures, Delta Architecture, and Delta Lake Demo. They will also gain knowledge on how to leverage the efficient compression and encoding schemes that are native to Parquet. Furthermore, they will gain an understanding of how Delta Lake can seamlessly integrate with many Big Data Frameworks like Spark, Presto, Athena, Redshift, Snowflake etc.

Course Syllabus

About Instructor

Delta Lake Overview

Appendix

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Pros & Cons
  • Good introductory course for Delta Lake.
  • Simple and informative.
  • Demo for Delta Lake could've been more insightful.
  • Frequent movement of cursor pointer is not good.
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