Introduction to Spark SQL and DataFrames

Files:

• Get Bonus Downloads Here.url (0.2 KB)
~Get Your Files Here ! 01 - Introduction
• 01 - Apache Spark SQL and data analysis.mp4 (2.5 MB)
• 01 - Apache Spark SQL and data analysis.srt (1.4 KB)
• 02 - What you should know.mp4 (641.8 KB)
• 02 - What you should know.srt (1.0 KB)
02 - 1. Introduction to Spark DataFrames
• 01 - Introduction to DataFrames.mp4 (3.9 MB)
• 01 - Introduction to DataFrames.srt (4.3 KB)
• 02 - SQL for DataFrames.mp4 (3.1 MB)
• 02 - SQL for DataFrames.srt (3.5 KB)
03 - 2. Installing Spark
• 01 - Install Spark.mp4 (7.2 MB)
• 01 - Install Spark.srt (7.0 KB)
• 02 - Install PySpark.mp4 (999.6 KB)
• 02 - Install PySpark.srt (1.1 KB)
• 03 - Using Jupyter notebooks with PySpark.mp4 (4.7 MB)
• 03 - Using Jupyter notebooks with PySpark.srt (5.1 KB)
04 - 3. Getting Started with Spark DataFrames
• 01 - Set up a Jupyter notebook.mp4 (2.9 MB)
• 01 - Set up a Jupyter notebook.srt (3.2 KB)
• 02 - Load data into DataFrames CSV Files.mp4 (17.1 MB)
• 02 - Load data into DataFrames CSV Files.srt (10.8 KB)
• 03 - Load data into DataFrames JSON Files.mp4 (6.0 MB)
• 03 - Load data into DataFrames JSON Files.srt (4.9 KB)
• 04 - Basic DataFrame operations.mp4 (7.5 MB)
• 04 - Basic DataFrame operations.srt (5.6 KB)
• 05 - Filter data with DataFrame API.mp4 (4.9 MB)
• 05 - Filter data with DataFrame API.srt (3.7 KB)
• 06 - Aggregate data with DataFrame API.mp4 (8.0 MB)
• 06 - Aggregate data with DataFrame API.srt (6.2 KB)
• 07 - Sample data from DataFrames.mp4 (11.4 MB)
• 07 - Sample data from DataFrames.srt (7.8 KB)
• 08 - Save data from DataFrames.mp4 (7.5 MB)
• 08 - Save data from DataFrames.srt (5.5 KB)
05 - 4. SQL for DataFrames
• 01 - Querying DataFrames with SQL.mp4 (9.3 MB)
• 01 - Querying DataFrames with SQL.srt (6.4 KB)
• 02 - Filtering DataFrames with SQL.mp4 (12.5 MB)
• 02 - Filtering DataFrames with SQL.srt (8.6 KB)
• 03 - Aggregating Data with SQL.mp4 (11.2 MB)
• 03 - Aggregating Data with SQL.srt (7.7 KB)
• 04 - Joining DataFrames with SQL.mp4 (11.1 MB)
• 04 - Joining DataFrames with SQL.srt (8.3 KB)
• 05 - Eliminating duplicates in DataFrames.mp4 (8.7 MB)
• 05 - Eliminating duplicates in DataFrames.srt (7.5 KB)
• 06 - Working with NA values in DataFrames.mp4 (11.7 MB)
• 06 - Working with NA values in DataFrames.srt (8.0 KB)
06 - 5. Data Analysis with Spark
• 01 - Exploratory data analysis with DataFrames.mp4 (16.1 MB)
• 01 - Exploratory data analysis with DataFrames.srt (10.6 KB)
• 02 - Exploratory data analysis with Spark SQL.mp4 (11.1 MB)
• 02 - Exploratory data analysis with Spark SQL.srt (7.2 KB)
• 03 - Timeseries analysis with DataFrames.mp4 (30.1 MB)
• 03 - Timeseries analysis with DataFrames.srt (14.3 KB)
• 04 - Basic machine learning with DataFrames, part 1.mp4 (18.1 MB)
• 04 - Basic machine learning with DataFrames, part 1.srt (11.6 KB)
• 05 - Basic machine learning with DataFrames, part 2.mp4 (12.5 MB)
• 05 - Basic machine learning with DataFrames, part 2.srt (9.3 KB)
07 - Conclusion
• 01 - Next steps.mp4 (1.3 MB)
• 01 - Next steps.srt (1.3 KB)
• Bonus Resources.txt (0.1 KB)
Ex_Files_Spark_SQL_DataFrames Exercise Files CH 03 begin
• 03.01 Loading csv files into dataframes.ipynb (3.3 KB)
• 03.02 Reading JSON Files.ipynb (2.3 KB)
• 03.03 Basic Dataframe Operations.ipynb (2.5 KB)
• 03.04 Filtering using Dataframe API.ipynb (1.7 KB)
• 03.05 Aggregating using Dataframe API.ipynb (1.7 KB)
• 03.06 Sampling using Dataframe API.ipynb (2.6 KB)
• 03.07 Saving Data from Dataframes.ipynb (2.1 KB)
end
• 03.01 Loading csv files into dataframes.ipynb (10.5 KB)
• 03.02 Reading JSON Files.ipynb (6.9 KB)
• 03.03 Basic Dataframe Operations.ipynb (11.6 KB)
• 03.04 Filtering using Dataframe API.ipynb (6.0 KB)
• 03.05 Aggregating using Dataframe API.ipynb (6.7 KB)
• 03.06 Sampling using Dataframe API.ipynb (6.7 KB)
• 03.07 Saving Data from Dataframes.ipynb (5.4 KB)
CH 04 begin
• 04.01 Querying Dataframes with SQL.ipynb (2.7 KB)
• 04.02 Filtering Dataframes with SQL.ipynb (3.2 KB)
• 04.03 Aggregating Dataframes with SQL.ipynb (4.0 KB)
• 04.04 Joining Dataframes with SQL.ipynb (3.3 KB)
• 04.05 De-duplicating.ipynb (1.7 KB)
• 04.06 Working with NAs.ipynb (9.0 KB)
end
• 04.01 Querying Dataframes with SQL.ipynb (7.2 KB)
• 04.02 Filtering Dataframes with SQL.ipynb (10.1 KB)
• 04.03 Aggregating Dataframes with SQL.ipynb (11.5 KB)
• 04.04 Joining Dataframes with SQL.ipynb (8.8 KB)
• 04.05 De-duplicating.ipynb (3.1 KB)
• 04.06 Working with NAs.ipynb (8.9 KB)
CH 05 begin
• 05.01 Exploratory Analysis.ipynb (3.6 KB)
• 05.02 Timeseries Analysis .ipynb (3.8 KB)
• 05.03 Machine Learning - Clustering.ipynb (2.6 KB)
• 05.04 Machine Learning - Linear Regression.ipynb (2.5 KB)
end
• 05.01 Exploratory Analysis.ipynb (11.4 KB)
• 05.02 Timeseries Analysis .ipynb (12.8 KB)
• 05.03 Machine Learning - Clustering.ipynb (5.4 KB)
• 05.04 Machine Learning - Linear Regression.ipynb (5.4 KB)
Data
• location_temp.csv (14.2 MB)
• server_name.csv (0.8 KB)
• utilization.csv (17.6 MB)
• utilization.json (56.2 MB)
• Spark Mac Linux Export Environment Variables (0.2 KB)
• Spark Windows Instructions (0.7 KB)