What you'll learn:
Understand the basics of Azure Databricks and its key features
Supported Data Storage formats for real world data such Apache Parquet
Build and execute end-to-end data pipelines using PySpark
Build and execute end-to-end data pipelines using Databricks SQL Datawarehousing
Shared Storage using Unity Catalog for handling real world challenges
Using Databricks CLI for Automation for Databricks workflows,jobs and workspaces
Using Databricks Utilities for handling file system (dbfs)
Using Databricks CLI
Using Delta Lakes for data engineering
Using COPY INTO and AutoLoader for Data movement
Manage Infrastructure using Infrastructure as Code(IaC) Tools such as Terraform
Implement CI/CD pipelines using Azure DevOps
Handle Data Science projects using Databricks Machine Learning
Leverage Azure Databricks for Machine Learning, including MLFlow integration
Experience Learning using Real Time Projects references
Requirements:
You must know Python programming to write and run Python-based code
Understanding SQL helps in creating and managing tables, transforming data, and running queries quickly
Knowing cloud basics can be helpful for using Azure Databricks, including concepts like cloud storage, computing power, networking, and security
Description:
This course will take you on a journey into the world of Azure Databricks, transforming how you handle data analysis, engineering tasks, and machine learning tasks.Highlights:Learn to set up and utilize Azure Databricks efficiently.Understand Open Storage Parquet, Data Lakes, and Delta Lakes.Explore the Medallion design pattern.Use Azure Databricks for SQL Data Warehousing.Master Spark Programming and Big Data Processing in Azure Databricks.Utilize Unity Catalog for managing batch and streaming datasets.Build pipelines with Delta Live Tables in Azure Databricks.Implement CI/CD pipelines using Azure DevOps.Automate infrastructure provisioning with Terraform for Azure Databricks.Leverage Azure Databricks for Machine Learning, including MLFlow integration.This course caters to data engineers, data scientists, and analytics professionals, enhancing your ability to use Azure Databricks for complex analytics projects. Our courses are designed with a simple learning plan that is well-suited for college freshmenBy the end, you'll be equipped to build scalable, reliable data solutions, and implement advanced analytics with confidence. You'll gain hands-on experience in setting up and optimizing your data environment, ensuring efficient data processing and robust data engineering workflows. Additionally, you'll learn best practices for managing data storage, developing machine learning models, and deploying them seamlessly, making you proficient in the entire data lifecycle using Azure Databricks.
Who this course is for:
Data engineers
Data scientists
Business analysts
Data analysts
IT professionals interested in big data and analytics
Even College Freshmen

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