Python framework for building efficient data pipelines. It promotes modularity and collaboration, enabling the creation of complex pipelines from simple, reusable components.
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Updated
Jun 10, 2024 - Python
Python framework for building efficient data pipelines. It promotes modularity and collaboration, enabling the creation of complex pipelines from simple, reusable components.
Open Targets python framework for post-GWAS analysis
Custom AEMO MMS Data Model CSV reader for Apache Spark
the portable Python dataframe library
State of the Art Natural Language Processing
Config files for my GitHub profile.
Data Mining Course 2023/24 at AGH UST
💜🌈📊 A Data Engineering Project that implements an ETL data pipeline using Dagster, Apache Spark, Streamlit, MinIO, Metabase, Dbt, Polars, Docker 🌺
USC DSCI 553 - Foundations & Applications of Data Mining - Spring 2024 - Prof. Wei-Min Shen
The classification problem statement to identify whether registered complaint will be disputed by the customer or not.
Generate relevant synthetic data quickly for your projects. The Databricks Labs synthetic data generator (aka `dbldatagen`) may be used to generate large simulated / synthetic data sets for test, POCs, and other uses in Databricks environments including in Delta Live Tables pipelines
ETL for weather and traffic data using https://openweathermap.org/api and https://project-osrm.org/ endpoints
Engenharia de dados para implementação de tabela de supressão/quarentena de clientes utilizando Pyspark, Spark SQL, Pandas e APIs no Databricks.
A tool for building feature stores.
Apache Linkis builds a computation middleware layer to facilitate connection, governance and orchestration between the upper applications and the underlying data engines.
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