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Checked by:
Category:
Language:
English
Total Size:
330.4 MB
Info Hash:
C0228F0DF9C6D1B4CB6B1342B402B3BA94AE6A46
Added By:
Added:
Sept. 25, 2025, 6:33 p.m.
Stats:
|
(Last updated: Sept. 25, 2025, 6:38 p.m.)
| File | Size |
|---|---|
| Get Bonus Downloads Here.url | 180 bytes |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 01 - Next steps.mp4 | 1.3 MB |
| 01 - Next steps.srt | 1.3 KB |
| Bonus Resources.txt | 70 bytes |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| location_temp.csv | 14.2 MB |
| server_name.csv | 772 bytes |
| utilization.csv | 17.6 MB |
| utilization.json | 56.2 MB |
| Spark Mac Linux Export Environment Variables | 163 bytes |
| Spark Windows Instructions | 750 bytes |
Name
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330.4 MB
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2025-09-25
| Uploaded by freecoursewb | Size 330.4 MB | Health [ 2 /3 ] | Added 2025-09-25 |
NOTE
SOURCE: Introduction to Spark SQL and DataFrames
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