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Core IT Trainings

At Core IT Trainings, we offer expert IT training and visa support tailored to your needs.

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Courses / Database / Microsoft Azure Data Engineering: Data Transformation and Analysis
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Microsoft Azure Data Engineering: Data Transformation and Analysis

Training

Real-time, Hands-on, & Practical

Certification

Course Completion Certificate

Support

Job Assistance & Career Guidance

Payment Plan

Interest Free Installment Option

About Course

Take your data skills to the next level with our Microsoft Azure Data Engineering course! This course is designed to transform your understanding of data management, covering every aspect of Azure’s powerful data engineering tools. Whether you’re a beginner or a seasoned data professional, this 60-hour immersive program will guide you through the essential components of the Azure ecosystem, including Azure Data Factory, Azure SQL Database, Azure Synapse Analytics, Azure Data Lake, and Power BI.

Why choose this course? Microsoft Azure is a leading cloud provider, and data engineering on Azure offers cutting-edge capabilities for managing, processing, and analyzing data. You’ll gain hands-on experience in configuring and utilizing Azure Data Factory for ETL workflows, creating and optimizing storage solutions, working with Spark in Azure Databricks, and setting up end-to-end data projects. Our practical, project-based approach ensures that learning is both engaging and applicable to real-world scenarios.

By the end of the course, you’ll be equipped with the skills to design and implement data pipelines, manage big data storage, and create impactful visualizations. This course opens the door to advanced data engineering roles and certification pathways, making it an ideal choice for anyone looking to excel in the field. Don’t wait—enhance your career and become a data engineering expert with Microsoft Azure!

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What Will You Learn?

  • Configure Azure Data Factory for data transformation and pipeline management.
  • Build and optimize data storage solutions with Azure Data Lake and Delta Lake.
  • Leverage Spark SQL and PySpark for big data processing in Azure Databricks.
  • Use Azure Synapse Analytics for complex data analysis and SQL pooling.
  • Design interactive reports and dashboards with Power BI.

Course Curriculum

Module 1: Azure Introduction

  • On-premises vs Cloud Computing
  • Advantages of Cloud Computing
  • Different Cloud Vendors
  • Azure Overview and Subscription Setup

Module 2: Azure Storage Account

  • Introduction to Storage Accounts
  • Blob Storage: Types, Access Tiers, Security Mechanisms
  • Connecting with Storage Explorer

Module 3: Azure SQL Database

  • SQL Basics and RDBMS Concepts
  • SQL Services in Azure
  • Creating Azure SQL Databases and Virtual Machines
  • Cross Query Feature with PolyBase

Module 4: Data Warehouse Concepts

  • Understanding OLTP, OLAP, and DataMart
  • Data Modeling: ER Modeling, Star and Snowflake Schemas

Module 5: Azure Synapse Dedicated SQL Pool

  • Introduction to Synapse and Architecture
  • PolyBase for Data Transfer

Module 6: Azure Data Factory

  • ETL/ELT Concepts and Azure Data Factory Setup
  • Data Flows and Transformations
  • Pipelines and Deployment using CI/CD

Module 7: Azure Databricks (PySpark/Spark SQL)

  • Big Data Concepts and Spark Architecture
  • RDDs and DataFrames
  • Advanced PySpark Functions and Joins

Module 8: Azure Synapse Analytics

  • Creating Synapse Analytics SQL Pools
  • Pipelines and Notebooks in Synapse

Module 9: Power BI

  • Introduction to Power BI
  • Designing Reports and Dashboards
  • Connecting to Azure Data Sources

Module 10: Azure Logic Apps

  • Creating Logic Apps for Workflow Automation
  • Email Notification Setup

Module 11: Azure DevOps Git Repo & CI/CD Deployment

  • Azure DevOps Overview and Setup
  • CI/CD Pipelines for Deployment

Module 12: End-to-End Project Implementation

  • Integrating Data Factory, Databricks, and Synapse in a Real-World Project

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£2,300 £2,700
-15%
Course Snapshot:
Course Duration 3 Months
Course Timing Mon-Fri (2 hours/day)
Training Type Virtual/Online
Skill Level Intermediate
Certificate Yes
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Requirements

  • Basic SQL knowledge is recommended.
  • Access to an Azure account (free subscription or trial).
  • Familiarity with data management concepts (ideal but not required).

Audience

  • Aspiring data engineers looking to build expertise in Azure.
  • IT professionals transitioning to cloud-based data management.
  • Data analysts seeking to enhance their data engineering skills.
  • Students preparing for careers in data science and engineering.

Material Includes

  • 60 hours of guided video lessons and hands-on projects.
  • Step-by-step exercises for setting up Azure Data Engineering services.
  • Sample projects for real-world data transformations.
  • Access to Azure tools for SQL, Databricks, and Power BI.
  • Quizzes and assignments to reinforce each module.
At Core IT Trainings, we are passionate about empowering individuals to reach their full potential in the dynamic and ever-evolving field of IT.

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