How can I efficiently handle large data sets in my project?
You can start by using data processing frameworks like Apache Spark or Dask, which are designed for large-scale data.
What are some best practices for optimizing performance?
Some best practices include using efficient data formats like Parquet, minimizing data movement, and leveraging parallel processing.
Are there specific tools you recommend for data visualization?
Yes, tools like Tableau, Power BI, and Matplotlib in Python are great for visualizing large data sets.
How do I ensure data quality when working with large sets?
Implement data validation checks, use automated testing, and regularly clean your data to maintain quality.
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