Welcome to this Azure Data Engineering Project, which demonstrates an end-to-end data pipeline on Azure to process and visualize customer demographics. Built as a learning exercise, it follows best ...

Conventionally, the steps in the data management architecture typically include enterprise data extraction from operational data repositories and storing them in a raw data lake. The next step is ...

ETL System – Extract raw data, transform it into a structured format, and load it into the target system for analysis. Data Lake – Store data from multiple sources in a centralized repository to ...

With this capability, developers can easily scale ingestion processes and automate every step of the data pipeline. “With disparate sources ... the “Filling the Data Lake” architecture reduces ...

It was at that point the company re-evaluated its architecture and opted to trade its two data warehouses for a single S3 data lake architecture. While positive outcomes were achieved because of ...