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Scaling Python for Data Science Using Apache Spark (Garren Staubli)

Опубликовано: 04 Октябрь 2024
на канале: Databricks
329
4

Garren Staubli, a Senior Data Engineer at Blueprint Consulting Services, discusses how python is the de facto language of data science and engineering, which affords it an outsized community of users. However, when many data scientists and engineers come to Spark with a Python background, unexpected performance potholes can stand in the way of progress. These “Performance Potholes” include PySpark’s ease of integration with existing packages (e.g. Pandas, SciPy, Scikit Learn, etc), using Python UDFs, and utilizing the RDD APIs instead of Spark SQL DataFrames without understanding the implications..

Learn more here: https://databricks.com/session/apache...

Article you might like: https://databricks.com/session/analyz...
About: Databricks provides a unified data analytics platform, powered by Apache Spark™, that accelerates innovation by unifying data science, engineering and business.
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Instagram:   / databricksinc   Databricks is proud to announce that Gartner has named us a Leader in both the 2021 Magic Quadrant for Cloud Database Management Systems and the 2021 Magic Quadrant for Data Science and Machine Learning Platforms. Download the reports here. https://databricks.com/databricks-nam...

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