Explore the Databricks Workspace in this comprehensive video tutorial, part of the "Master Databricks and Apache Spark Step by Step" series. Take a guided tour through each tool, understanding its purpose and learning how to use it effectively. Focus on the proprietary Databricks interactive development environment (IDE) notebook, gaining essential knowledge for future lessons. Download accompanying data files from the provided GitHub link. Learn about various Workspace components including Cluster Modes, Spark UI, file uploading, notebook creation and formatting, data visualization, and user settings. Gain hands-on experience with live demonstrations and practical examples to build a solid foundation in Databricks and Apache Spark.
Databricks Workspace Tour and Notebook Demo - Lesson 3
Overview
Syllabus
Intro
Databricks Workspace
Cluster Modes
End Cluster
Finished Cluster
Spark UI
Uploading a file
Creating a notebook
Formatting a notebook
Clusters
Limit Rows
Plot Options
Dashboard
Notebooks
Libraries
Data Lake
Jobs
Models
User Settings
Recap
Taught by
Bryan Cafferky
Related Courses
-
Data Engineering with Databricks
-
Implement a data lakehouse analytics solution with Azure Databricks
-
Perform data engineering with Azure Synapse Apache Spark Pools
-
Perform data science with Azure Databricks
-
Microsoft Azure Databricks for Data Engineering
-
Building Open Source Software (OSS) Analytics Solutions with Azure HDInsight
