Master Azure Databricks

🌟 Master Azure Databricks: A Comprehensive Guide to Big Data Processing 🌟

Course Overview:

Embark on a journey to master the intricacies of Apache Spark, Databricks, and its ecosystem with our comprehensive online course. Dive deep into the world of Azure Databricks, where you'll learn to leverage PySpark, Delta Lake, Databricks SQL Analytics, REST API & CLI for real-world data analytics tasks. Whether you're a beginner or an experienced professional looking to expand your skillset, this course is designed to equip you with the knowledge and hands-on experience you need.

Course Structure:

Module 1: Introduction to Data Pipelines & Azure Databricks

• What is a Data Pipeline? 🚦
• Introducing Azure Databricks 🚀
• Understanding Azure Databricks Architecture 🏭
• Setting up your Azure Account ⚙️
• Configuring your Workspace 📦

Module 2: Navigating the Azure Databricks Workspace

• Exploring the Workspace Interface 🖥️
• Managing Runtimes and Clusters 💡
• Working with Notebooks 📝
• Utilizing Libraries and Repos 📚
• Mastering Databricks File System (DBFS) 🗂️
• Introduction to Widgets, Workflows, and Metastore Setup 🔗

Module 3: Core Apache Spark Concepts

• Understanding RDDs 📊
• Creating and Transforming RDDs 🛠️
• Exploring RDD Actions and Joins 🔗
• Working with Broadcast Variables, Accumulators, and Converting to DataFrames 🔄
• Importing and Reading Data 📈
• Creating and Managing Databricks Tables 🖫️

Module 4: DataFrame Operations

• Crafting DataFrames from Scratch 🎨
• Defining Schemas and Using Functions ⚙️
• Mastering Casting, Filtering, Grouping, and Removing Duplicates 🔍
• Utilizing Window and Date/Time Functions ⏰
• Creating User Defined Functions (UDFs) 🛠️
• Building Visualizations and Dashboards 📊

Module 5: Streaming ETL with Azure Databricks

• Deep Dive into Streaming ETL Processes 🔄
• Integrating Event Hubs with Databricks 🌫️
• Performing Transformations on Real-time Data ⚡
• Analyzing Twitter Sentiment for Insights 🐦
• Setting up a Twitter Developer Account and Conducting Analysis 📈

Module 6: Databricks SQL Analytics

• Components and Configuration in Databricks SQL 🛠️
• Querying and Parameterizing Data 🔍
• Building Advanced Visualizations 📊
• Access Control on Databricks SQL Objects 🔑
• Lab Exercises: Data Object Access Control and Ownership Transfer 🔄
• Accessing SQL Endpoint from Python and Using CLI Commands 🖥️

Why Take This Course?

• Hands-On Learning: Engage with practical exercises that mimic real-world scenarios.
• Expert Instructors: Learn from seasoned professionals with extensive industry experience.
• Flexible Learning: Study at your own pace, with lifetime access to course materials.
• Community Support: Join a community of learners and share insights on Databricks and Azure platforms.
• Career Advancement: Gain skills that are highly sought after by employers looking for Big Data experts.

Who Is This Course For?

This course is designed for:

• Data Analysts, Engineers, and Scientists aiming to enhance their skillset in Big Data processing.
• Software Developers and Architects who want to leverage Azure Databricks for building scalable applications.
• Beginners interested in exploring the world of Spark, Delta Lake, and Databricks SQL Analytics.
• Anyone looking to bridge the gap between traditional data engineering and the new age of big data analytics.

Enroll Now and Transform Your Data!

Ready to turn your data into actionable insights? Sign up for this course today and unlock the full potential of Azure Databricks. Whether you're looking to advance your career, tackle complex data challenges, or simply satisfy your curiosity about big data technologies, this course is your gateway to mastering Azure Databricks. 🚀💻

Note: This course outline is subject to updates and enhancements as the Azure Databricks platform evolves. Stay ahead of the curve by enrolling now and benefiting from the latest in big data technology!