Course Overview Of Azure Databricks Online Training :

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

Prerequteis Of Azure Databricks :

·         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 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

Azure Databricks Course Content :

Module 1: Introduction to Azure Databrick

     ·        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