Let's Learn together

we will explore 31 crucial vocabulary terms that every data enthusiast, analyst, or engineer should be familiar with. From data governance to machine learning algorithms, these terms will equip you with a solid foundation in the world of data. By understanding these key concepts, you will be better equipped to navigate the ever-evolving landscape of data-driven technologies and make informed decisions in your data projects

Extra columns in your ETL jobs can provide valuable context and information for downstream data consumers, allowing them to better understand the source and quality of the data. By considering these extra columns, you can improve the quality and reliability of your data pipelines, and make it easier for downstream consumers to extract value from your data

Extra columns in your ETL jobs can provide valuable context and information for downstream data consumers, allowing them to better understand the source and quality of the data. By considering these extra columns, you can impr28|ove the quality and reliability of your data pipelines, and make it easier for downstream consumers to extract value from your data

FastAPI is a modern, fast (high-performance) web framework for building APIs with Python 3.7+ based on standard Python type hints. It is designed to be easy to use and to provide high performance out-of-the-box. FastAPI is built on top of the Starlette framework for the web parts and Pydantic for the data parts

This comparison article provides an overview of data manipulation in three popular tools: Pandas, PySpark, and Apache Hive. By providing code examples and discussing the pros and cons of each approach, the article aims to help data engineers and data scientists choose the best tool for their specific use case.