Introduction to Spark SQL and DataFrames

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Introduction to Spark SQL and DataFrames

Torrent Contents Size: 330.4 MB

Introduction to Spark SQL and DataFrames
▼ show more 81 files
01 - Apache Spark SQL and data analysis.mp4
MP4
2.5 MB
01 - Apache Spark SQL and data analysis.srt
SRT
1.4 KB
01 - Exploratory data analysis with DataFrames.mp4
MP4
16.1 MB
01 - Exploratory data analysis with DataFrames.srt
SRT
10.6 KB
01 - Install Spark.mp4
MP4
7.2 MB
01 - Install Spark.srt
SRT
7 KB
01 - Introduction to DataFrames.mp4
MP4
3.9 MB
01 - Introduction to DataFrames.srt
SRT
4.3 KB
01 - Next steps.mp4
MP4
1.3 MB
01 - Next steps.srt
SRT
1.3 KB
01 - Querying DataFrames with SQL.mp4
MP4
9.3 MB
01 - Querying DataFrames with SQL.srt
SRT
6.4 KB
01 - Set up a Jupyter notebook.mp4
MP4
2.9 MB
01 - Set up a Jupyter notebook.srt
SRT
3.2 KB
02 - Exploratory data analysis with Spark SQL.mp4
MP4
11.1 MB
02 - Exploratory data analysis with Spark SQL.srt
SRT
7.2 KB
02 - Filtering DataFrames with SQL.mp4
MP4
12.5 MB
02 - Filtering DataFrames with SQL.srt
SRT
8.6 KB
02 - Install PySpark.mp4
MP4
999.6 KB
02 - Install PySpark.srt
SRT
1.1 KB
02 - Load data into DataFrames CSV Files.mp4
MP4
17.1 MB
02 - Load data into DataFrames CSV Files.srt
SRT
10.8 KB
02 - SQL for DataFrames.mp4
MP4
3.1 MB
02 - SQL for DataFrames.srt
SRT
3.5 KB
02 - What you should know.mp4
MP4
641.8 KB
02 - What you should know.srt
SRT
1 KB
03 - Aggregating Data with SQL.mp4
MP4
11.2 MB
03 - Aggregating Data with SQL.srt
SRT
7.7 KB
03 - Load data into DataFrames JSON Files.mp4
MP4
6 MB
03 - Load data into DataFrames JSON Files.srt
SRT
4.9 KB
03 - Timeseries analysis with DataFrames.mp4
MP4
30.1 MB
03 - Timeseries analysis with DataFrames.srt
SRT
14.3 KB
03 - Using Jupyter notebooks with PySpark.mp4
MP4
4.7 MB
03 - Using Jupyter notebooks with PySpark.srt
SRT
5.1 KB
03.01 Loading csv files into dataframes.ipynb
IPYNB
10.5 KB
03.02 Reading JSON Files.ipynb
IPYNB
6.9 KB
03.03 Basic Dataframe Operations.ipynb
IPYNB
11.6 KB
03.04 Filtering using Dataframe API.ipynb
IPYNB
6 KB
03.05 Aggregating using Dataframe API.ipynb
IPYNB
6.7 KB
03.06 Sampling using Dataframe API.ipynb
IPYNB
6.7 KB
03.07 Saving Data from Dataframes.ipynb
IPYNB
5.4 KB
04 - Basic DataFrame operations.mp4
MP4
7.5 MB
04 - Basic DataFrame operations.srt
SRT
5.6 KB
04 - Basic machine learning with DataFrames, part 1.mp4
MP4
18.1 MB
04 - Basic machine learning with DataFrames, part 1.srt
SRT
11.6 KB
04 - Joining DataFrames with SQL.mp4
MP4
11.1 MB
04 - Joining DataFrames with SQL.srt
SRT
8.3 KB
04.01 Querying Dataframes with SQL.ipynb
IPYNB
7.2 KB
04.02 Filtering Dataframes with SQL.ipynb
IPYNB
10.1 KB
04.03 Aggregating Dataframes with SQL.ipynb
IPYNB
11.5 KB
04.04 Joining Dataframes with SQL.ipynb
IPYNB
8.8 KB
04.05 De-duplicating.ipynb
IPYNB
3.1 KB
04.06 Working with NAs.ipynb
IPYNB
8.9 KB
05 - Basic machine learning with DataFrames, part 2.mp4
MP4
12.5 MB
05 - Basic machine learning with DataFrames, part 2.srt
SRT
9.3 KB
05 - Eliminating duplicates in DataFrames.mp4
MP4
8.7 MB
05 - Eliminating duplicates in DataFrames.srt
SRT
7.5 KB
05 - Filter data with DataFrame API.mp4
MP4
4.9 MB
05 - Filter data with DataFrame API.srt
SRT
3.7 KB
05.01 Exploratory Analysis.ipynb
IPYNB
11.4 KB
05.02 Timeseries Analysis .ipynb
IPYNB
12.8 KB
05.03 Machine Learning - Clustering.ipynb
IPYNB
5.4 KB
05.04 Machine Learning - Linear Regression.ipynb
IPYNB
5.4 KB
06 - Aggregate data with DataFrame API.mp4
MP4
8 MB
06 - Aggregate data with DataFrame API.srt
SRT
6.2 KB
06 - Working with NA values in DataFrames.mp4
MP4
11.7 MB
06 - Working with NA values in DataFrames.srt
SRT
8 KB
07 - Sample data from DataFrames.mp4
MP4
11.4 MB
07 - Sample data from DataFrames.srt
SRT
7.8 KB
08 - Save data from DataFrames.mp4
MP4
7.5 MB
08 - Save data from DataFrames.srt
SRT
5.5 KB
Bonus Resources.txt
TXT
102.4 B
Get Bonus Downloads Here.url
URL
204.8 B
Spark Mac Linux Export Environment Variables
204.8 B
Spark Windows Instructions
716.8 B
location_temp.csv
CSV
14.2 MB
server_name.csv
CSV
819.2 B
utilization.csv
CSV
17.6 MB
utilization.json
JSON
56.2 MB

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