Databricks Tutorial (From Zero to Hero) | Azure Databricks Masterclass

Databricks Tutorial | PySpark | Azure Databricks | Delta Lake This 4-hour Databricks Tutorial video covers everything from the fundamentals to advanced concepts, making it perfect for both beginners and experienced professionals. 🔍 What You'll Learn: - Spark Architecture: Understand the core components and how they work together. - Databricks Fundamentals: Get familiar with the Databricks environment and its features. - DBFS (Databricks File System): Learn how to manage files and data efficiently. - PySpark Transformations: Dive into data manipulation and processing techniques. - External Data: Discover how to connect and read data from Azure Data Lake. - Delta Lake: Explore Delta Lake in detail and its advantages for data management. - Autoloader : Incrementally load data with spark streaming dataframes. - Real-time Scenarios: Apply your knowledge to practical use cases. - Interview Questions: Prepare for your next job interview with common questions in big data engineering. Data Source Link : https://github.com/anshlambagit/Databricks-Masterclass/tree/main/Resources Databricks Notebook : https://github.com/anshlambagit/Databricks-Masterclass/tree/main/Resources PySpark Full Course : https://youtu.be/94w6hPk7nkM?si=Y2EUnifXrZRK3MOj Data Engineering Masterclass : https://youtu.be/ZRz-7E-7X7c?si=bzl2xL1ngZodTx-M End-To-End Azure Data Engineering Project : https://youtu.be/0GTZ-12hYtU?si=_9Gyh6KvDt5HX_OT Timestamps: 0:00 Introduction 7:01 What is Spark Cluster 11:26 Spark Architecture 19:38 What is Dataricks 20:42 Databricks with Azure, AWS, GCP 24:52 Free Azure Account 27:08 Azure Portal 32:22 Azure Data Lake 40:36 Creating Azure Databricks Workspace 44:30 Azure Databricks Overview 50:37 Databricks Spark Cluster 58:23 Magic Commands in Databricks 1:08:49 Databricks File System (DBFS) 1:13:42 Access Azure Data Lake Storage from Databricks 1:19:39 Service Principal Azure 1:30:55 Databricks Utilities 1:35:52 dbutils widgets 1:39:30 dbutils Secrets 1:51:19 Reading Data (Ingestion) using PySpark 1:57:45 Free PySpark Full Course 1:59:14 Data Transformation using PySaprk 2:04:49 Real-Rime Scanrios in PySpark 2:09:25 Delta Lake Architecture 2:20:30 Output Modes in PySpark 2:28:58 External Delta Table vs Managed Delta Table 2:41:12 CRUD operations in Delta Tables 3:02:30 Delta Log Explained in Detail 3:13:01 Data Versioning in Delta Lake 3:17:01 Time Travel in Delta Lake 3:20:08 VACUUM in Databricks 3:29:01 Delta Table Optimization 3:35:57 ZORDER BY in Databricks in Detail 3:46:53 Autoloader Databricks 3:53:16 Streaming in Databricks 3:58:42 Incremental Data Ingestion with Autoloader 4:05:56 Databricks Workflows 4:08:30 Databricks Job 4:14:35 Azure End-To-End Data Engineering Project Connect with ME - https://www.linkedin.com/in/ansh-lamba-793681184/ Please Hit the SUBSCRIBE button❤️to support me and my hard work. ⭐Hashtags⭐ #databricks #pyspark #azure #dataengineering #tutotrial #apachespark