Cloud Computing 4.9

Azure Data Engineering Course

Data Engineering on Azure Equip yourself with the skills to truly excel as a Data Engineer and master the craft of designing a system for collecting, storing, and analyzing different forms of data. The Data Engineering on Microsoft Azure Certification Training will prepare you to...

  • Live + Recorded
  • 4 Portfolio Projects
  • Rated 4.9 / 5
Azure Data Engineering Course

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₹36,999
  • Duration Flexible
  • Format Live + Recorded
  • 4 Portfolio Projects
  • Rated 4.9 / 5
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Overview

Data Engineering on Azure Equip yourself with the skills to truly excel as a Data Engineer and master the craft of designing a system for collecting, storing, and analyzing different forms of data. The Data Engineering on Microsoft Azure Certification Training will prepare you to clear the DP-203 exam with confidence and will have a transformative impact on your CV. Gain in-demand skills and position yourself up for a highly rewarding career!

Prerequisites

There are no perquisites to take the Azure Data Engineer Certification exam, however it will be beneficial to have the following:

  • Be proficient in programming concepts and SQL syntax
  • A basic understanding of data formats - CSV, JSON
  • Some basic database knowledge

Key Features

40 Hours of Engaging Live Instructor-Led Training

Balanced Mix of Classroom and Practical Sessions

Latest, Microsoft-Approved Curriculum

Proficiently analyze data on Azure and extract meaningful insights

Curriculum

1. Data Engineering - An Introduction

Learning Objectives:

Master fundamental Azure concepts, terminology, and services and develop proficiency in navigating the Azure Portal for resource creation, management, and monitoring.

  • Azure Overview
  • Fundamental Azure Concepts
  • Introduction to Azure Portal

2. Design and Implement Data Storage

Learning Objectives:

Acquire expertise in designing and implementing an Azure Data Lake solution, covering efficient querying, data pruning, distribution strategy, archiving, partitioning, and the implementation of physical and logical data structures. Develop skills for creating a robust serving layer, ensuring a holistic understanding of end-to-end data management in Azure.

  • Design an Azure Data Lake solution
  • Design for Efficient Querying
  • Design for Data Pruning
  • Design a Distribution Strategy
  • Design Data Archiving Solution
  • Design a Partition Strategy
  • Implement Physical Data Storage Structures
  • Implement Logical Data Structure
  • Implement the Serving Layer

3. Design and Develop Data Processing

Learning Objectives:

Master data ingestion and transformation techniques, design efficient batch processing solutions, implement stream processing solutions for real-time data, and effectively manage data batches and pipelines to ensure seamless data flow in diverse applications.

  • Ingest and Transform Data
  • Design and Develop a Batch Processing Solution
  • Design and Develop a Stream Processing Solution
  • Manage Data Batches and Pipelines

4. Design and Implement Data Security

Learning Objectives:

Master designing robust security measures for data policies, standards, and proficiently implement data masking techniques to safeguard sensitive information effectively.

  • Design Security for Data Policies and Standards
  • Implement Data Masking and Security

5. Monitor and Optimize Data Storage and Processing

a. Configure Data Monitoring Services

b. Optimize Data Storage and Processing

c. Troubleshoot Data Processing

Who Can Do

IT Professionals

Cloud Solutions Architects

Experienced Azure Administrators

Azure Developers

DevOps Professionals

Machine Learning Experts

FAQ

1. How difficult is the Azure Data Engineer certification exam?

The difficulty of the Data Engineer certification Azure exam can vary depending on your level of expertise and experience in data engineering. The exam, specifically the Data Engineering on Microsoft Azure (DP-203) exam, is designed to assess your knowledge and competence in various aspects of data engineering on the Azure platform.

If you already have a solid background in data engineering and practical experience in the field, you may find it relatively easier to grasp the concepts required for the exam. On the other hand, if you are new to data engineering or less familiar with Azure-specific technologies, it may pose a greater challenge.

It's important that you thoroughly prepare for the exam by leveraging quality Azure data engineering training resources, practice exams, and hands-on experience with Azure data engineering tools. This course provides you with all the preparation support that you will need to clear the Azure Data Engineer certification exam in the first go.

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