Data Engineering

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    A Python ETL/ELT Library

    Streamlining Data Pipelines with onETL: A Python ETL/ELT Library Data processing and transformation play a crucial role in today’s data-driven world. As businesses strive to harness the power of data, efficient and scalable data pipelines become essential. This is where onETL, a Python ETL/ELT library powered by Apache Spark and other open-source tools, comes into…

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    A Wrapper for AWS Datapipeline

    Simplifying ETL Jobs with Dataduct: A Wrapper for AWS Datapipeline Introduction Managing ETL (Extract, Transform, Load) jobs can be a complex and time-consuming task. However, with the advent of Dataduct, a powerful wrapper built on top of AWS Datapipeline, the process becomes much simpler and more efficient. In this article, we will explore how Dataduct…

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    A Guide to py-orca

    Building Data Pipelines with Python: A Guide to py-orca Are you interested in building efficient and scalable data pipelines using Python? Look no further than py-orca, a powerful Python package designed specifically for connecting services and effortlessly building data pipelines. In this article, we will explore the capabilities of py-orca and provide a comprehensive guide…