Azure Databricks and Spark SQL (Python)

Master Azure Databricks with PySpark: Your Hands-On Guide to Advanced Data Engineering and Analysis

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

Requirements
Basic SQL
Basic Python

Description
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 OverviewAzure Databricks NotebooksSpark SQLReading and Writing DataData Analysis and Transformation with Spark SQL in PythonCharts and Dashboards in Databricks NotebooksDatabricks Medallion ArchitectureAccessing Data in Cloud Object StorageHive MetastoreDatabases, Tables and Views in DatabricksDelta Lake / Databricks Lakehouse ArchitectureSpark Structured StreamingDelta Live TablesDatabricks JobsAccess Control Lists (ACLs)Databricks CLISource Control with Databricks ReposCI/CD on Databricks

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, Aspiring Azure Data Engineers