Databricks Full Course (With UNITY CATALOG) | Azure Databricks Tutorial скачать в хорошем качестве

Databricks Full Course (With UNITY CATALOG) | Azure Databricks Tutorial

Databricks Full Course (With UNITY CATALOG) | Azure Databricks Tutorial | Spark Streaming using PySpark 🔍 What You'll Learn: This 4-hour tutorial on Databricks, focusing on the most in-demand topics such as Unity Catalog, Unity Metastore, Databricks Storage Credential, Databricks External Location, Volumes in Databricks, Cloning in Databricks, Loading Incremental Data using Autoloader, Delta Lake (in detail), along with real time scenarios and Databricks interview questions. This video is perfect for both beginners and seasoned professionals looking to deepen their understanding of Databricks and its powerful features. Data Source Link : https://github.com/anshlambagit/Datab... Databricks Tutorial :    • Databricks Tutorial (From Zero to Hero) | ...   PySpark Full Course :    • PySpark Tutorial | Full Course (From Zero ...   Azure Data Factory Full Course :    • Azure Data Factory Full Course (From Begin...   End-To-End Azure Data Engineering Project :    • Azure End-To-End Data Engineering Project ...   Timestamps: 0:00 Introduction 06:07 Databricks Architecture (Control Plane and Data Plane) 11:13 Databricks Integration with Cloud 14:54 Azure Portal Free Account 18:22 Azure Portal Tutorial 24:29 Azure Data Lake Tutorial 27:58 Azure Databricks Free Account 31:43 Azure Databricks Overview 38:44 Databricks Spark Cluster 40:36 Unity Catalog Databricks 45:45 Databricks Unity Catalog vs Hive Metastore 56:04 Databricks Admin Console 59:09 Unity Catalog Metastore 1:07:09 Managed Table and External Table 1:11:36 Databricks Access Connector 1:13:31 RBAC Azure 1:21:58 Databricks Unity Cluster 1:23:12 Unity Catalog Databricks Tutorial 1:26:45 Databricks Notebook 1:27:43 Magic Commands in Databricks 1:31:56 Databricks Storage Credential 1:33:19 Databricks External Location 1:38:53 Databricks Real Time Scenarios 1:40:28 Scenario 1 (Managed Catalog, Managed Schema, Managed Table) 1:46:00 Scenario 2 (External Catalog, Managed Schema, Managed Table) 1:51:21 Scenario 3 (External Catalog, External Schema, Managed Table) 1:54:54 Scenario 4 (External Catalog, External Schema, External Table) 1:58:13 DROP and UNDROP in Databricks 2:01:10 Databricks Views 2:05:26 Read Data from ADLS using Databricks 2:14:22 Databricks Volumes Unity Catalog 2:21:13 Managed Volumes and External Volumes in Databricks 2:28:59 Delta Table in Databricks 2:40:53 Delta Lake Tutorial 2:41:53 Delta Log Databricks 2:44:51 CRUD operations in Delta Lake 2:47:10 Delta Lake Architecture 2:49:44 Data Versioning in Delta Lake 2:52:07 Time Travel in Delta Lake 2:54:00 Deletion Vectors Databricks 3:02:09 Delta Table Optimization using OPTIMIZE 3:08:37 Deep Clone and Shallow Clone Databricks 3:18:04 Incremental Data Ingestion with Autoloader 3:22:50 Spark Streaming Dataframe 3:24:13 Databricks Workflows and Jobs Connect with ME -   / ansh-lamba-793681184   Please Hit the SUBSCRIBE button❤️to support me and my hard work. ⭐Hashtags⭐ #azure #databricks #dataengineering #dataengineer #data #apachespark #deltalake #azuredatabricks #azuredataengineer