Microsoft Azure Databricks for Data Engineering

Azure Databricks platform to run large data engineering workloads in the cloud
4.22 (328 reviews)
Udemy
platform
English
language
Data Science
category
instructor
Microsoft Azure Databricks for Data Engineering
8β€―623
students
1.5 hours
content
Apr 2024
last update
FREE
regular price

Why take this course?

πŸš€ Master Azure Databricks for Data Engineering! 🌟

Azure Databricks Platform Mastery: Run Large-Scale Data Workloads in the Cloud

Dive into the world of cloud-based data engineering with our comprehensive course, designed to empower you with the skills to harness Apache Spark on Microsoft Azure's powerful Databricks platform. πŸ–₯️✨

Course Highlights:

  • Unlock the Power of Apache Spark: Learn how to use Apache Spark notebooks for processing massive datasets efficiently.

  • Understand Azure Databricks Capabilities: Explore the full potential of the Azure Databricks platform and identify tasks that are optimized for Apache Spark.

  • Deep Dive into Azure Databricks Architecture: Gain insights into the architecture of an Azure Databricks Spark Cluster and Spark Jobs, and understand how they work in tandem to process data at scale.

  • Real-World Data Handling: Work with real datasets from various sources and formats, and learn how Azure Databricks supports reads, writes, and queries to manage your data seamlessly.

  • Practice with a Practice Exam: Take on a practice exam to test your knowledge and ensure you're prepared for the real DP-203: Data Engineering on Microsoft Azure certification exam.

Why Take This Course?

βœ… Expert-Led Learning: Taught by industry expert Maruti Makwan, this course is tailored to provide deep insights into data engineering in Azure.

βœ… Certification Alignment: As part of a Specialization, this course aligns with the skills required for the DP-203 certification, making it an ideal preparation path.

βœ… Hands-On Experience: Get hands-on experience with real-world scenarios, ensuring you're ready to apply your knowledge in any data engineering role.

For Whom?

πŸ‘©β€πŸ’» IT Professionals Aspiring to Become Azure Data Engineers: Whether you're new to cloud services or an experienced IT professional, this course is designed to meet you where you are and take you to the next level.

πŸ“˜ Aspiring Microsoft Certification Holders: If you're aiming to pass the DP-203 exam, this course will provide the comprehensive coverage you need to succeed.

Course Requirements:

  • πŸ’» Basic Cloud Knowledge: Familiarity with cloud computing concepts will enhance your learning experience but is not mandatory.

  • πŸ“ˆ Azure Subscription: You'll need an Azure account to follow along with the practical exercises. Don't have one? We'll help you set up a free account at the start of the course.

Support Along the Way:

  • ☎️ Expert Mentors: If you encounter challenges or have questions, our experienced mentors are here to guide you every step of the way.

Embark on your journey to becoming a data engineering expert with Microsoft Azure Databricks. Sign up for this course today and unlock the potential of cloud-based data workloads! πŸ“ˆπŸ’«


Course Breakdown:

  1. Introduction to Azure Databricks - Understanding the platform and its role in data engineering.

  2. Apache Spark Essentials - Mastering the Apache Spark engine that powers Azure Databricks.

  3. Azure Databricks Architecture - Diving into how clusters and jobs work within Azure Databricks.

  4. Data Ingestion & Processing - Handling large datasets from multiple sources and formats.

  5. Data Storage & Management - Efficiently storing, reading, writing, and querying data with Azure Databricks.

  6. Practice Exam & Certification Preparation - Taking a practice exam to prepare for the DP-203 certification.

  7. Conclusion & Next Steps - Wrapping up your learning and looking at what comes next in your data engineering journey.


Enroll now and take your first step towards becoming a certified Azure Data Engineer! πŸŒŸπŸ‘¨β€πŸ’»πŸ‘©β€πŸ’»

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4926158
udemy ID
13/10/2022
course created date
26/11/2022
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