Modern ETL Pipeline --using DBT Cloud

Modern ETL refers to the current state of ETL (Extract, Transform, and Load) technologies and practices. ETL has been around for many years and has evolved over time. Modern ETL is characterized by a number of key features:

Speed and scalability: Modern ETL tools and processes are designed to handle large volumes of data quickly and efficiently.

Data integration: Modern ETL tools are able to extract data from a wide variety of sources, including databases, flat files, APIs, and more.

Data transformation: Modern ETL processes include advanced transformation capabilities, such as data cleansing, data deduplication, and data enrichment.

Data governance: Modern ETL tools include features to help ensure data quality and security, such as data lineage tracking, data lineage visualization, and data masking.

Cloud-native: Modern ETL tools are often built to run on cloud platforms, making it easy to scale up or down as needed.

Overall, modern ETL is designed to enable organizations to extract, transform, and load data from various sources in a fast, efficient, and secure manner, so that it can be used for business intelligence and data analytics purposes.

[ashwinkumar]

How to get all code files for practice and learn. Please suggest

[Mskirrrr]

Hi Imran, looks like you missed tagging the datasets, could you please give a link to data sets?
thank you