Extract Transform Load for Python 3.5+
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Updated
May 12, 2023 - Python
Extract Transform Load for Python 3.5+
ETL with Python - Taught at DWH course 2017 (TAU)
A utility library for comparing and synchronizing different datasets.
Data Importer For SharePoint & Office 365
PREVIEW - SQL databases in Bonobo, using sqlalchemy
DocWire SDK: Award-winning modern data processing in C++20. SourceForge Community Choice & Microsoft support. AI-driven processing. Supports nearly 100 data formats, including email boxes and OCR. Boost efficiency in text extraction, web data extraction, data mining, document analysis. Offline processing is possible for security and confidentiality
Business Intelligence and Data Warehousing Project
PREVIEW - Run Bonobo data processing graphs in docker containers.
Archive. See Datatractor Yard, below:
This project demonstrates how to build and automate an ETL pipeline using DAGs in Airflow and load the transformed data to Bigquery. There are different tools that have been used in this project such as Astro, DBT, GCP, Airflow, Metabase.
OLAP ITL-Утилиты для 1С:ERP Управление предприятием.
Explore the transformative power of data analytics in my portfolio, where Google Analytics and Snowflake converge to provide comprehensive insights. This project leverages advanced ETL techniques and real-time data integration to enhance user engagement and optimize content delivery effectively.
Syracuse University, Masters of Applied Data Science - IST 722 Data Warehouse
SEC Finance Data Engineering - ETL process for SEC Finance data of S&P 500 companies. Jupyter Notebooks to run ETL work flows. The final dataset is hosted in MongoDB Atlas(cloud). The API is written using Python with PyMongo and Flask libraries. The dashboards with charts are hosted in MongoDB Atlas.
A Working Group on connecting and advancing interoperability of efforts on automated extraction of metadata from materials and chemical file formats
PRE-ALPHA - Write web crawlers using Bonobo
Python module for extracting, transforming and loading data
Create a machine learning pipeline, that categorizes disaster events.
OLAP multidimensional data analysis project - SSIS, PowerBI, ETL
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