Marco Bonzanini discusses the process of building data pipelines, e.g. extraction, cleaning, integration, pre-processing of data; in general, all the steps necessary to prepare data for a data ...

SQL-Driven Data Ingestion: Enhancing Big Data Pipelines With Python Automation In an era where data drives decision-making and innovation, the ability to effectively manage and process vast ...

Overview The right Python libraries can dramatically improve speed, efficiency, and maintainability in 2025 projects.Mastering a mix of data, AI, and web-focuse ...

This course aims to cover various tools in the process of data science for obtaining, cleaning, visualizing, modeling, and interpreting data. Most of the tools introduced in this course will be based ...

Instructor: Dr. Qin (Christine) Lv, Associate Professor of Computer Science Prior knowledge needed: Basic familiarity with Python, data structure and algorithms View on Coursera Learning Outcomes B y ...

Astronomer offers a paid cloud version of Apache Airflow, a popular open-source platform for creating data pipelines. A data pipeline is a software workflow that moves information between ...

Struggling to integrate your Python enrichment services effectively into Scala data processing pipelines? Roi Yarden, Senior Software Engineer at ZipRecruiter, shares how we sewed it all together ...

It is a handy tool for keeping a record of data explorations, creating charts, styling text and sharing the results of that work. For data analysis, the cornerstone package in Python is “Pandas”.