A distinguished researcher in data engineering, Pradeep Kumar Vattumilli sheds light on a transformative approach to ...

In this modern era, Srinivas Kolluri, an expert in AI-driven cloud computing solutions, has developed a transformative ...

It is crucial for a data-driven organization to have a centralized source for all of its information, or else it is difficult to make informed predictions. Many companies turn to ETL to provide ...

Data contracts define the interface between data providers and consumers, specifying things like data models, quality guarantees, and ownership. They are essential for distributed data ownership in ...

This project demonstrates a fully functional ETL pipeline that extracts, transforms (including sanitization of data using the Pandas library), loads, and analyzes data. The pipeline leverages Google ...

Data Extraction is the process of collecting and retrieving data from various sources for processing and analysis. It's the initial step in the larger process of ETL (Extract, Transform, Load), which ...

Naming convention is a number (for ordering), │ the creator's initials, and a short `-` delimited description, e.g. │ `1.0-jqp-initial-data-exploration`. │ ├── pyproject.toml <- Project configuration ...

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