workshop-realtime-data-pipelines
| Spooq | workshop-realtime-data-pipelines | |
|---|---|---|
| 1 | 1 | |
| 8 | 3 | |
| - | - | |
| 7.4 | 2.3 | |
| about 2 months ago | 9 months ago | |
| Python | Python | |
| MIT License | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Spooq
-
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
workshop-realtime-data-pipelines
What are some alternatives?
Proxmox-load-balancer - Designed to constantly maintain the Proxmox cluster in balance
pyspark-example-project - Implementing best practices for PySpark ETL jobs and applications.
numWorkshop - A python wrapper for the numworks workshop.
data-retrieval - Data extraction and transformation for the animated graph
prism - Prism is the easiest way to develop, orchestrate, and execute data pipelines in Python.
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.
patterns-devkit - Data pipelines from re-usable components
hamilton - Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
Udacity-Data-Engineering-Projects - Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development.