Course Overview Of Azure Databrick Online Tarining

Looking to advance your career in big data, analytics, or AI? Our Azure
Databricks Online Training is your gateway to mastering Apache Spark, data
pipelines, and machine learning in the Azure cloud ecosystem. Designed by
industry experts, this course helps you build real-world skills that employers
are actively seeking.

Key Features:

● Comprehensive Curriculum: Dive deep into the fundamentals of Azure Databricks, Apache Spark, and machine learning.

● Hands-On Projects: Gain practical experience by working on real-world data engineering and machine learning projects.

● Expert Instructors: Learn from industry-leading experts in data engineering and data science.

● Flexible Learning: Study at your own pace with our self-paced online courses and live online classes.

● Career-Focused Training: Prepare for a successful career in data engineering and data science

                                                        EnrollNow

·         Prerequisites for Azure Databricks Online Training

·        While this course is designed to be beginner-friendly, having the following knowledge will enhance your learning experience:

·        🔹 Basic understanding of cloud computing (preferablyAzure)

·        🔹 Familiarity with SQL and Python programming

·        🔹 Knowledge of data structures and general programming  logic           

·        🔹 Optional: Prior experience with Big Data or Apache Spark  concepts          

·         Why Choose Us for Azure Databricks Training?

·        Choosing the right training provider can make all the difference. Here’s what sets us apart:

·         Expert-Led Training

·        Learn from certified Azure Databricks professionals with real-world experience delivering scalable cloud data solutions.

·         Hands-On, Real-World Projects

·        Practice what you learn in a live Databricks environment using real datasets and industry-grade challenges.

·         Interactive & Updated Curriculum

·        We constantly update our course content based on evolving industry needs, ensuring you’re always learning what matters.

·         Full Support Ecosystem

·        From 24/7 learner support to resume building, interview guidance, and certification assistance—we’ve got your back.

·         Certification Readiness

·        Get step-by-step help in preparing for the official Databricks and Azure certifications with mock tests and study guides.

·        Why Choose Our Azure Databricks Online Training

·         Hands-on Training with Real-Time Projects

·         Live Online Classes by Certified Azure Professionals

·         Industry-Relevant Curriculum Covering Spark, Delta Lake, MLflow & More

·         Security & Governance with Role-Based Access Control (RBAC)

·         Access to Resources, Labs & Lifetime Materials

·         Resume Support & Job Placement Guidance

             ·        What You’ll Learn :

·        Fundamentals of Azure Databricks & Apache Spark

·        Data Processing using DataFrames & Spark SQL

·        ETL Pipelines using Azure Data Lake & Delta Lake

·        Machine Learning with MLlib and MLflow

·        Stream Processing with Structured Streaming

·        Integration with Power BI for Dashboards & Reports

·        Best Practices for CI/CD and Workspace Collaboration

·        Security, RBAC, and Compliance in Azure Environments

Azure Databricks Online Training  Course Content

    🔹 Module 1: Introduction to Azure Databricks

·        Overview of Azure Databricks and Unified Analytics

·        Key features and architecture

·        Use cases in data engineering and AI

·        Navigating the Databricks workspace

    🔹 Module 2: Apache Spark Essentials

·        Introduction to Apache Spark

·        Spark components: Core, SQL, Streaming, MLlib

·        Working with RDDs, DataFrames, and Datasets

·        Spark SQL and performance tuning basics

    🔹 Module 3: Data Engineering with Databricks

·        ETL pipeline creation using Databricks

·        Mounting and accessing Azure Data Lake

·        Data transformations and schema management

·        Using notebooks for pipeline orchestration

    🔹 Module 4: Delta Lake & Data Lake Integration

·        Understanding Delta Lake architecture

·        Implementing ACID transactions on big data

·        Time travel and schema enforcement

·        Building reliable data lakes with Delta

    🔹 Module 5: Streaming Data with Structured Streaming

·        Real-time data processing concepts

·        Creating streaming jobs in Databricks

·        Using window functions and watermarks

·        Integration with Azure Event Hubs and Kafka

     🔹 Module 6: Machine Learning with MLlib & MLflow

·        Introduction to MLlib for scalable ML

·        Feature engineering and model training

·        Tracking experiments with MLflow

·        Model deployment and lifecycle management

     🔹 Module 7: BI Integration & Visualization

·        Exporting datasets to Power BI

·        Creating dashboards within Databricks

·        Visualizing trends, KPIs, and forecasts

    🔹 Module 8: DevOps & Collaboration

·        Using Git with Databricks

·        Job scheduling and task orchestration

·        CI/CD pipelines with Azure DevOps

·        Notebooks versioning and collaboration tools

     🔹 Module 9: Security & Compliance

·        Role-Based Access Control (RBAC)

·        Workspace and cluster-level permissions

·        Data encryption, secrets management

·        Compliance best practices in Azure

    🔹 Module 10: Certification & Capstone Project

·        Tips for clearing the Azure Databricks certification

·        Mock test and exam simulations

·        Final capstone project with end-to-end pipeline

·        Interview preparation & job readiness guidance