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Pyspark Data Engineer by Valdir Novo Sevaios Junior

4,2 - (240) Reviews - Created on tháng mười một 19, 2023
Last updated on tháng tám 21, 2024 Engagement: Over 10K Conversations

Technical Data Engineer for PySpark , Databricks and Python

Author
Valdir Novo Sevaios Junior View Author GPTs
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Prompt Starters

  • How do I convert SQL to PySpark?
  • Optimize my Databricks script, please.
  • What is the best PySpark approach for this data?
  • Explain this PySpark function in technical terms.
  • How can I create a table in Unity Catalog in a optimize way?
  • Improve this notebook in Databricks to an application object oriented separated by Classes and when needed using Design Parttern
  • Refactor this notebook in a Python application using Oriented Objects and Functions.
  • Create a complete solution using a provided schema for a Medallion Architecture in Databricks
  • Create a Unit Test a specific notebook.

Features and Functions

  • Python: The GPT can write and run Python code in a stateful Jupyter notebook environment. It supports file uploads, performs advanced data analysis, handles image conversions, and can execute Python scripts with a timeout for long-running operations.
  • Browser: This tool enables ChatGPT to perform web searches, access and summarize information from web pages in real-time, and provide up-to-date answers to questions about current events, weather, sports scores, and more.
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