Azure Databricks Master Program [real time scenarios + Labs]

🎓 Azure Databricks Master Program: Real-Time Scenarios + Labs

🚀 Course Headline: Dive into the world of Azure Databricks and master real-time data processing, machine learning, and more with hands-on labs! This comprehensive program is designed to equip you with the skills to handle complex customer requirements and design robust data pipelines in Databricks. 🚀

About Azure Databricks: Azure Databricks is a unified analytics platform optimized for both batch and streaming workloads. It integrates machine learning and data engineering capabilities, enabling you to scale your projects from prototype to production. Let's explore the intricacies of Azure Databricks and how it can transform your approach to handling big data.

Course Outline:

Understanding Azure Databricks:

• What is Azure Databricks? Discover the origins and capabilities of Azure Databricks.
• Challenges to Solutions with Azure Databricks: Learn how to overcome common hurdles encountered when working with large-scale data processing.
• History of Azure Databricks: Trace the evolution and advancements of Azure Databricks over time.
• Azure Databricks Architecture: Delve into the architecture that makes Azure Databricks a powerful analytics tool.
• Azure Databricks Data Flow Architecture: Understand how data flows through your Databricks environment.

Batch and Stream Data Processing:

• Batch Data Processing with Azure Databricks: Master the art of processing batch data efficiently in Databricks.
• Stream Data Processing with Azure Databricks: Learn the techniques for handling real-time streaming data.

Machine Learning on Batch Data:

• Explore how to leverage Azure Databricks for machine learning tasks on batch datasets.

Azure Databricks Interface:

• Workspace: Get familiar with the Azure Databricks workspace and its features.
• Data Management: Learn to manage data within your Databricks environment effectively.
• Computation Management: Master the art of managing computational resources in Azure Databricks.
• Model Management: Understand how to manage machine learning models lifecycle from creation to deployment.
• Authentication and Authorization: Ensure your Databricks workspace is secure with proper authentication and authorization practices.

Hands-On Labs:

• Setting Up Your Environment: Begin by setting up your Azure Databricks workspace and familiarizing yourself with the interface.
• Reading CSV Files: Learn various methods to read CSV files into DataFrames, including handling delimiters, inferring schemas, and processing headers.
• DataFrame Operations: Perform common DataFrame operations such as filtering, transforming, and aggregating data.
• Machine Learning with PySpark MLlib: Integrate machine learning capabilities within your Databricks notebooks using PySpark MLlib.
• Scala for Apache Spark: Dive into the core APIs of Apache Spark using Scala to enhance your data processing capabilities.
• Running Jobs and Clusters: Learn how to create, manage, and scale out clusters in Azure Databricks to run your jobs efficiently.

Additional Lab Topics:

• Installation and CLI Usage: Get hands-on experience with the Databricks CLI for various operations like creating clusters, managing notebooks, and more.
• Data Storage with dbfs: Learn how to use the Databricks File System (dbfs) to store and manage your data files.
• Widgets and Parameter Passing: Understand how to dynamically pass parameters to your notebooks using widgets for interactive analysis.
• Job Creation and Scheduling: Create and schedule jobs within Azure Databricks to automate your workflows.
• Real-Time Data Processing: Implement real-time data processing pipelines with Azure Databricks.

Join Us on this Journey! This master program is tailored for data engineers, analysts, and scientists who wish to harness the power of Azure Databricks. Whether you're a beginner or an experienced professional, this course will provide you with the practical skills needed to navigate real-world scenarios and enhance your data processing capabilities.

👨‍💻 Prerequisites:

• Basic understanding of big data concepts.
• Familiarity with Python or Scala programming.
• A working knowledge of machine learning principles is beneficial but not mandatory.

Get Ready to Transform Your Data Processing Skills! Enroll in the Azure Databricks Master Program today and unlock the full potential of your data with real-time scenarios and hands-on labs. 🌟