Quick Introduction guide to DP-900 Azure Data Fundamentals

🌟 Quick Introduction Guide to DP-900 Azure Data Fundamentals 🌟

🚀 Headline: Master the essentials of data management in Microsoft Azure with our comprehensive, yet concise course - your first step towards becoming an expert in handling vast amounts of data on the cloud.

📘 Course Description:

In today's digital era, data is king. With the advent of cloud computing, the ability to harness and analyze this data has become a critical skill for any organization aiming to stay competitive. Microsoft Azure, the leading cloud platform, is at the forefront of this revolution. Our Quick Introduction Guide to DP-900 Azure Data Fundamentals course is designed to equip you with the foundational knowledge required to excel in managing and analyzing data on Azure.

🚀 Key Topics & Learning Objectives:

1️⃣ Core Data Concepts (15-20%)

• 📊 Understand different types of core data workloads:
  • Batch data vs. Streaming data: Learn the nuances and when to use each.
  • Characteristics of relational data: Get to know the properties that define this type of data.

2️⃣ Working with Relational Data on Azure (25-30%)

• 🧩 Azure data services:
  • Explore PaaS, IaaS, and SaaS solutions on Azure.
  • Dive deep into Azure SQL database services:
    • Azure SQL Database
    • Azure SQL Managed Instance
    • SQL Server on Azure Virtual Machine
  • Discover Azure Synapse Analytics and its capabilities.
  • Understand Azure Database services for popular open-source databases:
    • Azure Database for PostgreSQL
    • Azure Database for MariaDB
    • Azure Database for MySQL

3️⃣ Working with Non-Relational Data on Azure (25-30%)

• 🌍 Azure non-relational data services:
  • Identify the range of Azure data services for non-relational workloads.
  • Get familiar with Azure Cosmos DB APIs and its versatility.
  • Learn about Azure Table storage, Azure Blob storage, and Azure File storage.

4️⃣ Analytics Workloads on Azure (25-30%)

• 📊 Understand analytics workloads:
  • Transactional vs. Analytics workloads: Know the differences and when to apply them.
  • Explore data warehousing solutions and their significance in data management.
  • Determine when a data warehouse solution is necessary for your Azure environment.

By completing this course, you will have a solid grasp of the fundamental concepts and services within Azure that are critical for managing data effectively. You'll be well-equipped to tackle real-world scenarios with confidence and expertise. 🚀

Join us on this journey to unlock your potential in the realm of cloud computing with Microsoft Azure! Enroll now and embark on a path to becoming an Azure data guru. 🎓