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/Datab...
Databricks Notebook : https://github.com/anshlambagit/Datab...
PySpark Full Course : • PySpark Tutorial | Full Course (From Zero ...
Data Engineering Masterclass : • Fundamentals of Data Engineering Mastercla...
End-To-End Azure Data Engineering Project : • Azure End-To-End Data Engineering Project ...
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
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⭐Hashtags⭐
#databricks #pyspark #azure #dataengineering #tutotrial #apachespark
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