Databricks Platform Features – Deep Dive into Delta Lake using PySpark Data Frames

Databricks Platform Features – Deep Dive into Delta Lake using PySpark Data Frames

Do you want to learn Spark Delta Lake hands-on? Here are the YouTube Videos premiered for free. Also, the lectures and content along with the support are available as part of our Udemy course (go to the bottom or look at the comment for link).

Here is the video related to Delta lake using Spark SQL. You can also visit Data Engineering using Databricks on AWS and Azure for all the videos related to this course on Udemy.

Feel free to subscribe to our channel and stay tuned for more content around Databricks Features 

Here are the topics that are covered.

  • Introduction to Delta Lake using Spark SQL on Databricks Platform
  • Create Delta Lake Table using Spark Metastore on Databricks Platform
  • Insert Data to Delta Lake Table on Databricks Platform
  • Update Data in Delta Lake Table on Databricks Platform
  • Delete Data from Delta Lake Table on Databricks Platform
  • Merge or Upsert Data into Delta Lake Table on Databricks Platform
  • Using Merge Function over Delta Lake Table on Databricks Platform 
  • Point in Snapshot Recovery using Delta Lake Table on Databricks Platform
  • Vacuuming Delta Lake Tables on Databricks Platform
  • Compaction of Delta Lake Tables on Databricks Platform

To learn more about Delta Lake and other features of Databricks using video lectures, content as well as support you can sign up for our course on Udemy.

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