Скачать или смотреть Spark SQL with Databricks: Learn to Build a Data Pipeline (Free Tutorial)

In this video, we will explain how to get started with Spark SQL on Databricks Community Edition, allowing you to leverage your existing SQL skills to process big data effectively. We'll walk through a complete, hands-on tutorial, guiding you from setting up your Databricks environment to building a basic data engineering pipeline.

Topics Covered:
How do I create a free Databricks Community Edition account to practice Spark SQL?
What are the key concepts of Spark SQL and how does it compare to traditional SQL?
How can I load and explore data in Databricks using Spark SQL?
How to create an external table in Spark SQL to connect to a Databricks dataset?
How do I write basic SQL queries in Spark SQL, including grouping, aggregation, and filtering?
How to compute item level subtotal and invoice level revenue using Spark SQL?
What are Views and CTEs (Common Table Expressions) and how do I use them in Spark SQL Databricks?
How to create manage table in Spark SQL with Databricks?
How can I build an end-to-end data engineering pipeline using Spark SQL on Databricks?
How to write processed data back to Databricks tables using Spark SQL?
What are the most important clauses in SQL (SELECT, FROM, JOIN, WHERE, GROUP BY, ORDER BY) and how do they work in Spark SQL?
What is create external table and manage table in Spark SQL with Databricks?

Timestamps:
0:00 Spark SQL Full Course on Databricks: Introduction
0:18 Why Learn Spark SQL for Big Data Processing?
0:54 Data Bricks Community Edition
1:31 Data set for Spark SQL : Online retail data
4:59 Starting a Compute Cluster
9:14 Creating External Tables: Connecting Data to Spark SQL
15:53 Computing Item Revenue
18:18 Computing Invoice Revenue with GROUP BY and Aggregations
21:17 Sorting data using ORDER BY Clause
27:06 SELECT ,FROM ,JOIN, WHERE, GROUP BY, HAVING, ORDER BY
29:13 Creating Views and Common Table Expressions (CTEs)
33:54 Using file formats Parquet and Delta
39:39 Populating Data with INSERT Statement
46:56 Creating and Using a New Database in Spark
52:21 Validating the Data and Count

📂 Resources
GitHub Repo for Notebooks: https://github.com/itversity/apache-s...

Please go through the following link to understand how to upload notebooks to the Databricks cluster
https://docs.databricks.com/aws/en/no...

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