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📹 Check out this free YouTube video: https://lnkd.in/e-XHMnHQ
🔖 GitHub Repository: https://lnkd.in/ewzHfgUy
In this end-to-end video, you’ll explore key concepts and hands-on implementation of a data engineering project. Topics covered include:
– Project , problem statement, and domain overview
– The role of a data engineer and datasets used
– Solution architecture and technologies involved
– Step-by-step pipeline implementation, including full and incremental loads
– Data transitions across Bronze, Silver, and Gold layers
– Key concepts like ICD/CPT codes, SCD Type 2, and CDM
– Setup, quality checks, ADF pipelines, and GitHub integration
By the end, you’ll have a deep understanding of the project’s workflow and best practices.
You Should Know:
Here are some practical commands and codes related to Azure Data Engineering:
- Azure CLI Command to Create a Resource Group:
az group create --name MyResourceGroup --location eastus
2. Databricks CLI Command to List Clusters:
databricks clusters list
3. PySpark Code to Read a CSV File:
df = spark.read.csv("dbfs:/FileStore/shared_uploads/yourfile.csv", header=True, inferSchema=True)
df.show()
- Azure Data Factory Pipeline Trigger via REST API:
curl -X POST -H "Authorization: Bearer <ACCESS_TOKEN>" -H "Content-Type: application/json" -d '{}' https://management.azure.com/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.DataFactory/factories/{factoryName}/pipelines/{pipelineName}/createRun?api-version=2018-06-01
5. GitHub Command to Clone the Repository:
git clone https://github.com/your-repo/azure-data-engineering-project.git
- SQL Command to Create a Table in Azure Synapse:
CREATE TABLE dbo.Employee ( EmployeeID INT PRIMARY KEY, FirstName NVARCHAR(50), LastName NVARCHAR(50) );
What Undercode Say:
This project provides a comprehensive guide to mastering Azure Data Engineering with hands-on implementation. The integration of Databricks, ADF, and GitHub showcases modern data engineering practices. For those looking to deepen their expertise, the provided resources and commands are invaluable.
Additional Linux/Windows Commands for Data Engineers:
- Linux Command to Check Disk Space:
df -h
- Windows Command to Check Network Connections:
netstat -an
- Linux Command to Monitor Processes:
top
- Windows Command to List Running Services:
sc query
Explore the provided links and commands to enhance your data engineering skills and stay ahead in the field. 🚀
References:
Reported By: Abhisek Sahu – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
