Introduction to Spark SQL and DataFrames

Introduction to Spark SQL and DataFrames
     Get Bonus Downloads Here.url -


     01 - Apache Spark SQL and data analysis.mp4 -


     01 - Apache Spark SQL and data analysis.srt -


     02 - What you should know.mp4 -


     02 - What you should know.srt -


     01 - Introduction to DataFrames.mp4 -


     01 - Introduction to DataFrames.srt -


     02 - SQL for DataFrames.mp4 -


     02 - SQL for DataFrames.srt -


     01 - Install Spark.mp4 -


     01 - Install Spark.srt -


     02 - Install PySpark.mp4 -


     02 - Install PySpark.srt -


     03 - Using Jupyter notebooks with PySpark.mp4 -


     03 - Using Jupyter notebooks with PySpark.srt -


     01 - Set up a Jupyter notebook.mp4 -


     01 - Set up a Jupyter notebook.srt -


     02 - Load data into DataFrames CSV Files.mp4 -


     02 - Load data into DataFrames CSV Files.srt -


     03 - Load data into DataFrames JSON Files.mp4 -


     03 - Load data into DataFrames JSON Files.srt -


     04 - Basic DataFrame operations.mp4 -


     04 - Basic DataFrame operations.srt -


     05 - Filter data with DataFrame API.mp4 -


     05 - Filter data with DataFrame API.srt -


     06 - Aggregate data with DataFrame API.mp4 -


     06 - Aggregate data with DataFrame API.srt -


     07 - Sample data from DataFrames.mp4 -


     07 - Sample data from DataFrames.srt -


     08 - Save data from DataFrames.mp4 -


     08 - Save data from DataFrames.srt -


     01 - Querying DataFrames with SQL.mp4 -


     01 - Querying DataFrames with SQL.srt -


     02 - Filtering DataFrames with SQL.mp4 -


     02 - Filtering DataFrames with SQL.srt -


     03 - Aggregating Data with SQL.mp4 -


     03 - Aggregating Data with SQL.srt -


     04 - Joining DataFrames with SQL.mp4 -


     04 - Joining DataFrames with SQL.srt -


     05 - Eliminating duplicates in DataFrames.mp4 -


     05 - Eliminating duplicates in DataFrames.srt -


     06 - Working with NA values in DataFrames.mp4 -


     06 - Working with NA values in DataFrames.srt -


     01 - Exploratory data analysis with DataFrames.mp4 -


     01 - Exploratory data analysis with DataFrames.srt -


     02 - Exploratory data analysis with Spark SQL.mp4 -


     02 - Exploratory data analysis with Spark SQL.srt -


     03 - Timeseries analysis with DataFrames.mp4 -


     03 - Timeseries analysis with DataFrames.srt -


     04 - Basic machine learning with DataFrames, part 1.mp4 -


     04 - Basic machine learning with DataFrames, part 1.srt -


     05 - Basic machine learning with DataFrames, part 2.mp4 -


     05 - Basic machine learning with DataFrames, part 2.srt -


     01 - Next steps.mp4 -


     01 - Next steps.srt -


     Bonus Resources.txt -


     03.01 Loading csv files into dataframes.ipynb -


     03.02 Reading JSON Files.ipynb -


     03.03 Basic Dataframe Operations.ipynb -


     03.04 Filtering using Dataframe API.ipynb -


     03.05 Aggregating using Dataframe API.ipynb -


     03.06 Sampling using Dataframe API.ipynb -


     03.07 Saving Data from Dataframes.ipynb -


     03.01 Loading csv files into dataframes.ipynb -


     03.02 Reading JSON Files.ipynb -


     03.03 Basic Dataframe Operations.ipynb -


     03.04 Filtering using Dataframe API.ipynb -


     03.05 Aggregating using Dataframe API.ipynb -


     03.06 Sampling using Dataframe API.ipynb -


     03.07 Saving Data from Dataframes.ipynb -


     04.01 Querying Dataframes with SQL.ipynb -


     04.02 Filtering Dataframes with SQL.ipynb -


     04.03 Aggregating Dataframes with SQL.ipynb -


     04.04 Joining Dataframes with SQL.ipynb -


     04.05 De-duplicating.ipynb -


     04.06 Working with NAs.ipynb -


     04.01 Querying Dataframes with SQL.ipynb -


     04.02 Filtering Dataframes with SQL.ipynb -


     04.03 Aggregating Dataframes with SQL.ipynb -


     04.04 Joining Dataframes with SQL.ipynb -


     04.05 De-duplicating.ipynb -


     04.06 Working with NAs.ipynb -


     05.01 Exploratory Analysis.ipynb -


     05.02 Timeseries Analysis .ipynb -


     05.03 Machine Learning - Clustering.ipynb -


     05.04 Machine Learning - Linear Regression.ipynb -


     05.01 Exploratory Analysis.ipynb -


     05.02 Timeseries Analysis .ipynb -


     05.03 Machine Learning - Clustering.ipynb -


     05.04 Machine Learning - Linear Regression.ipynb -


     location_temp.csv -


     server_name.csv -


     utilization.csv -


     utilization.json -


     Spark Mac Linux Export Environment Variables -


     Spark Windows Instructions -

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