GitHub - alcherniaev/PySpark: i wrote a small tutorial on Databricks and on premise about how to utilize Spark Resilient Distributed Datasets and Spark Data Frames to explore a datasets, analyze them and save as parquet file.

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i wrote a small tutorial on Databricks and on premise about how to utilize Spark Resilient Distributed Datasets and Spark Data Frames to explore a datasets, analyze them and save as parquet file.

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Name		Name	Last commit message	Last commit date
Latest commit History 11 Commits
.ipynb_checkpoints		.ipynb_checkpoints
join_stock.parquet		join_stock.parquet
.DS_Store		.DS_Store
AMZN.csv		AMZN.csv
Data_Cleaning_Spark_databricks_cloud.ipynb		Data_Cleaning_Spark_databricks_cloud.ipynb
Exploratory_Data_Analysis.ipynb		Exploratory_Data_Analysis.ipynb
GOOG.csv		GOOG.csv
TSLA.csv		TSLA.csv
stock_prices_spark.ipynb		stock_prices_spark.ipynb

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i wrote a small tutorial on Databricks and on premise about how to utilize Spark Resilient Distributed Datasets and Spark Data Frames to explore a datasets, analyze them and save as parquet file.