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Pyspark Data Engineer by Valdir Novo Sevaios Junior

★ ★ ★ ★ ☆ 4.2 - (240) Reviews - Created on November 19, 2023

Last updated on August 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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linkedin: https://linkedin.com/in/valdir-sevaios
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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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