Azure Databricks and Spark SQL Python

Published 11/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 76 lectures (6h 59m) | Size: 2.94 GB

Hands-on course focusing on data engineering and analysis on Azure Databricks using Spark SQL

What you’ll learn
Azure Databricks
Data Lakehouse
Delta Lakes
Spark SQL
Big Data
Real World Scenarios


Basic SQL
Basic Python

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.

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 Transforation 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

Who this course is for
Anyone interested in working with Big Data and Spark
Anyone interested in working with Databricks
Anyone interested in working with cloud platforms






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