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Databricks - Master Azure Databricks for Data Engineers - OneDDL - 01-17-2024
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Free Download Databricks - Master Azure Databricks for Data Engineers
Published 1/2024
Created by Learning Journal,Prashant Kumar Pandey
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 91 Lectures ( 17h 34m ) | Size: 12.2 GB
Learn Azure Databricks for professional data engineers using PySpark and Spark SQL
What you'll learn:
Databricks in Azure Cloud
Working with DBFS and Mounting Storage
Unity Catalog - Configuring and Working
Unity Catalog User Provisioning and Security
Working with Delta Lake and Delta Tables
Manual and Automatic Schema Evolution
Incremental Ingestion into Lakehouse
Databricks Autoloader
Delta Live Tables and DLT Pipelines
Databricks Repos and Databricks Workflow
Databricks Rest API and CLI
Capstone Project
Requirements:
Python Programming Language
Apache Spark and Dataframe APIs using Python
Spark Structured Streaming APIs using Python
Description:
About the CourseI am creating Databricks - Master Azure Databricks for Data Engineers using the Azure cloud platform. This course will help you learn the following things.Databricks in Azure CloudWorking with DBFS and Mounting StorageUnity Catalog - Configuring and WorkingUnity Catalog User Provisioning and SecurityWorking with Delta Lake and Delta TablesManual and Automatic Schema EvolutionIncremental Ingestion into LakehouseDatabricks AutoloaderDelta Live Tables and DLT PipelinesDatabricks Repos and Databricks WorkflowDatabricks Rest API and CLICapstone ProjectThis course also includes an End-To-End Capstone project. The project will help you understand the real-life project design, coding, implementation, testing, and CI/CD approach. Who should take this Course?I designed this course for data engineers who are willing to develop Lakehouse projects following the Medallion architecture approach using the Databrick cloud platform. I am also creating this course for data and solution architects responsible for designing and building the organization's Lakehouse platform infrastructure. Another group of people is the managers and architects who do not directly work with Lakehouse implementation. Still, they work with those implementing Lakehouse at the ground level.Spark Version used in the Course.This course uses Databricks in Azure Cloud and Apache Spark 3.5. I have tested all the source codes and examples used in this course on Azure Databricks Cloud using Databricks Runtime 13.3.
Who this course is for:
Data Engineers
Data Engineering Solution Architects
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