What you would learn in Azure Databricks and Spark SQL (Python) course?
Databricks is among the most sought-after big data tools available. It's a quick, easy, collaborative Spark Big Data Analytics tool explicitly designed for data science, ML, and Data Engineering workflows.
The course includes lectures and code-along videos, and specially designed sections for challenges. It is more than enough for you to stay interested and learn! In addition, you'll also be able to have forever access to lessons... as well. I've prepared detailed notebooks for you in downloadable format. They will have step-by-step instructions along as well as additional resources and links.
I've ensured that the presentation for the class is entertaining and concise and the course is comprehensive yet taught efficiently. The course offers interactive training that makes use of a variety of types of data.
The course aims to teach your PySpark, Spark SQL in Python, and Databricks Lakehouse Architecture.
The primary use of this service is Databricks for Microsoft Azure and other services, such as Microsoft Azure Data Lake Storage Gen 2.
This course covers a range of subjects, such as:
Set Up and Overview
Azure Databricks Notebooks
Spark SQL
Reading and Writing Data
Analyzing and Transforming Data Spark SQL in Python
Charts and Dashboards in Databricks Notebooks
Databricks Medallion Architecture
Accessing Data in Cloud Object Storage
Hive Metastore
Databases, Tables, and Views in Databricks
Delta Lake / Databricks Lakehouse Architecture
Course Content:
- Azure Databricks
- Data Lakehouse
- Delta Lakes
- Spark SQL
- PySpark
- Big Data
- Real World Scenarios
Download Azure Databricks and Spark SQL (Python) from below links NOW!
