This repository contains the hands-on labs I completed as part of my learning journey in Azure Data Engineering, specifically for the DP-203 exam. These labs have helped me gain practical experience working with Azure Synapse Analytics, SQL, and Data Lake, and they cover the following areas:
- Description: This lab introduces the Azure Synapse platform, helping me understand its capabilities for data processing, analytics, and integration.
- Key Learnings:
- Navigating and exploring the Azure Synapse Analytics environment.
- Understanding the integration between Azure Synapse and other Azure services.
- Description: In this lab, I practiced querying data using SQL within Azure Synapse Analytics. I learned to retrieve valuable insights from large datasets.
- Key Learnings:
- Writing SQL queries for data analysis.
- Filtering, grouping, and aggregating data to derive insights.
- Using advanced SQL functions in Azure Synapse.
- Description: This lab focused on transforming data using SQL. I learned various techniques to clean, manipulate, and reshape data within Azure Synapse.
- Key Learnings:
- Performing data transformations with SQL.
- Applying functions to clean, aggregate, and manipulate datasets.
- Description: In this lab, I created a lake database within Azure Data Lake, organizing data for further analysis and processing.
- Key Learnings:
- Setting up a lake database in Azure Data Lake.
- Managing and organizing data for efficient analysis.
These labs have provided me with hands-on experience in key areas of Azure Data Engineering:
- Navigating Azure Synapse Analytics.
- Using SQL for data analysis and transformation.
- Working with Azure Data Lake for organizing and storing data.
I'm excited to continue expanding my knowledge and apply these skills to real-world projects!
- Azure Synapse Analytics
- SQL
- Azure Data Lake
These labs have been an excellent resource in mastering the practical skills required for Azure Data Engineering. Looking forward to applying these learnings in more complex projects!