Udemy – Azure Databricks and Spark SQL (Python)
English | Tutorial | Size: 6.31 GB
Master Azure Databricks with PySpark: Your Hands-On Guide to Advanced Data Engineering and Analysis (DP203)
What you’ll learn
Azure Databricks
Data Lakehouse
Delta Lake
Spark SQL
PySpark
Big Data
Real World Scenarios
CI/CD on Databricks
Source Control with Databricks Repos
Databricks is one of the most in demand big data tools around. It is a fast, easy, and collaborative Spark based big data analytics service designed for data science, ML and data engineering workflows.
The course is packed with lectures, code-along videos and dedicated challenge sections. This should be more than enough to keep you engaged and learning! As an added bonus you will also have lifetime access to all the lectures. and I have provided detailed notebooks as a downloadable asset, the notebooks will contain step by step documentation with additional resources and links.
I have ensured that the delivery of the course is engaging and concise, the curriculum is extensive yet delivered in an efficient way. The course will provide you with hands-on training utilising a variety of different data sets.
The course is aimed at teaching you PySpark, Spark SQL in Python and the Databricks Lakehouse Architecture.
You will primarily be using Databricks on Microsoft Azure in addition to other services such as Azure Data Lake Storage Gen 2, Azure Repos and Azure DevOps.
The course will cover a variety of areas including:
Set Up and Overview
Azure Databricks Notebooks
Spark SQL
Reading and Writing Data
Data Analysis and Transformation with 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
Spark Structured Streaming
Delta Live Tables
Databricks Jobs
Access Control Lists (ACLs)
Databricks CLI
Source Control with Databricks Repos
CI/CD on Databricks
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