pyspark-example-project
Spooq | pyspark-example-project | |
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1 | 1 | |
8 | 1,370 | |
- | - | |
7.4 | 0.0 | |
about 2 months ago | over 1 year ago | |
Python | Python | |
MIT License | - |
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Spooq
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Using Spooq to load a large scale of data
the link to the project: https://github.com/Breaka84/Spooq/blob/master/spooq/loader/hive_loader.py
pyspark-example-project
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Learning Pyspark for a new role
https://github.com/AlexIoannides/pyspark-example-project You can use this as an example to organize your project. I have referred to this in the past.
What are some alternatives?
Proxmox-load-balancer - Designed to constantly maintain the Proxmox cluster in balance
soda-spark - Soda Spark is a PySpark library that helps you with testing your data in Spark Dataframes
data-retrieval - Data extraction and transformation for the animated graph
Apache-Spark-Guide - Apache Spark Guide
workshop-realtime-data-pipelines - You will inspect and run a sample architecture making use of Apache Pulsarâ„¢ and Pulsar Functions for real-time, event-streaming-based data ingestion, cleaning and processing.
patterns-devkit - Data pipelines from re-usable components
data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
hamilton - Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.