In this repo, you will find the instructions and source codes for my demos.
In this session, I will guide you through the best practices and the process of creating a data pipeline using Mapping Data flow in Azure Data Factory. This includes:
- Overview of Azure Data Factory
- How to design a data pipeline?
- A demo of creating an end-to-end data pipeline.
Source code folder: Azure Data Factory - Data Pipeline
This is the second part of the Azure Data Factory series. In this session, I will guide you through the best practice for code management and code deployment for Azure Data Factory. This includes:
- Setting up git repository in Azure Data Factory.
- What is continuous integration and continuous delivery (CI/CD) process?
- A demo of creating an Azure DevOps CI/CD pipeline for Azure Data Factory.
Source code folder: Azure Data Factory - CI/CD
This is a two part series on Azure Synapse Analytics. In this session, I will guide you through the best practice for Data Exploration.
. This includes:
- Overview of Azure Synapse Analytics
- How to conduct a data explroation?
- A demo of using Azure Synapse to prepare, clean and analyze data to create insight using Serverless SQL and Serverless Spark.
Source code folder: Azure Synapse - Data Exploration
In this session, I will discuss the best practices for data modeling and the process of creating a data pipeline using Mapping Data flow in Synapse Analytics.
This includes:
- What is Data Warehousing?
- How to design and create a Dimensional data model?
- A demo of using Azure Synapse Analytics to create a data pipeline to store data into the data warehouse.
This is the second part of a two part series on Azure Synapse Analytics.
Source code folder: Azure Synapse - Data Warehousing