Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/LucaCanali/Miscellaneous
Includes notes on Apache Spark, Spark for Physics, Performance testing CPUs, TPCDS_PySpark, Jupyter notebook examples for Spark, Oracle and other DB systems.
https://github.com/LucaCanali/Miscellaneous
databases examples jupyter-notebook notes spark
Last synced: 3 months ago
JSON representation
Includes notes on Apache Spark, Spark for Physics, Performance testing CPUs, TPCDS_PySpark, Jupyter notebook examples for Spark, Oracle and other DB systems.
- Host: GitHub
- URL: https://github.com/LucaCanali/Miscellaneous
- Owner: LucaCanali
- License: apache-2.0
- Created: 2015-08-28T20:09:55.000Z (almost 9 years ago)
- Default Branch: master
- Last Pushed: 2024-03-28T10:28:41.000Z (3 months ago)
- Last Synced: 2024-03-28T20:59:08.410Z (3 months ago)
- Topics: databases, examples, jupyter-notebook, notes, spark
- Language: Jupyter Notebook
- Homepage:
- Size: 28.4 MB
- Stars: 394
- Watchers: 25
- Forks: 142
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Lists
- awesome-stars - LucaCanali/Miscellaneous - Includes notes on using Apache Spark in general, notes on using Spark for Physics, how to run TPCDS on PySpark, how to create histograms with Spark, tools for performance testing CPUs, Jupyter noteboo (Jupyter Notebook)
README
# Miscellaneous projects and scripts.
Author: [email protected]| Folder | Short description
|------------------------------------------------------------------| -------------------------------------------------------------------------------------
| [**Spark Dashboard**](Spark_Dashboard) | How to build a performance dashboard for Apache Spark, with examples.
| [**Spark Notes**](Spark_Notes) | Miscellaneous tips and code snippets about Apache Spark.
| [**Spark for Physics**](Spark_Physics) | Examples of how Apache Spark can be used in the domain of High Energy Physics data analysis.
| [**Deep Learning Notes**](DeepLearning_Notes) | Notes and examples on Deep Learning tools and related data pipelines.
| [**Performance Testing**](Performance_Testing) | Scripts, notebooks, and notes on performance testing (Spark, Linux, Oracle)
| [**Pyspark_SQL_Magic_Jupyter**](Pyspark_SQL_Magic_Jupyter) | How to write Jupyter SQL magic functions for PySpark and Spark SQL.
| [**Trino and Presto on Jupyter**](Trino_Presto_Jupyter) | Example of using Trino or Presto on a Jupyter notebook.
| [**PostgreSQL and YugabyteDB on Jupyter**](Trino_Presto_Jupyter) | Example of using PostgreSQL or YugabyteDB on a Jupyter notebook.
| [**Oracle_Jupyter**](Oracle_Jupyter) | Examples of how to query Oracle using Jupyter/IPython notebooks.
| [**Impala_SQL_Jupyter**](Impala_SQL_Jupyter) | Examples of how to run SQL on Apache Impala using Jupyter/IPython notebooks.
| [**SQL_color_Mandelbrot**](SQL_color_Mandelbrot) | How to use SQL to compute and display the Mandelbrot set with colors. Examples for Oracle and PostgreSQL.
| [**PLSQL_Neural_Network**](PLSQL_Neural_Network) | An example of how to deploy a DL serving engine for Oracle using PL/SQL.