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Installer for DataKitchen's Open Source Data Observability Products. Data breaks. Servers break. Your toolchain breaks. Ensure your team is the first to know and the first to solve with visibility across and down your data estate. Save time with simple, fast data quality test generation and execution. Trust your data, tools, and systems end to end.
DataOps Data Quality TestGen is part of DataKitchen's Open Source Data Observability. DataOps TestGen delivers simple, fast data quality test generation and execution by data profiling, new dataset hygiene review, AI generation of data quality validation tests, ongoing testing of data refreshes, & continuous anomaly monitoring
CSV Data Validator is a tool to validate csv file. It parse csv and validate the data with .hdr(csv meta data) before ingestion to Data Lake. It checks data file availability for every day load and validate data with respective meta data like File Size, Checksum, Delimiter, Record count etc. It ensure landed data conformity before give go ahead …
The main purpose of this repository is to build the pipeline for training of regression models and predict the compressive strength of concrete to reduce the risk and cost involved in discarding the concrete structures when the concrete cube test fails.
Created a high-performance REST API using FastAPI and Pydantic, supporting data on various countries, with features such as data validation and automatic JSON response handling.
🎯 Gender inequality at work - use of KNIME (Background research, GDPR, Data governance, ETL, EDA, Data cleaning and validation, Statistical tests with R, and Data Visualization)
The TA Management System is a C++ project designed to manage records of Teaching Assistants (TAs) within a department. The system ensures that only eligible TAs—those who are currently registered students—are maintained in the records. The project involves filtering out records of TAs who have graduated and updating the TA file accordingly.
application designed for efficient client profile management. It features modules for creating, storing, and retrieving client information, parsing and validating data strings, and implementing standardized interfaces to ensure consistent client operations across the application.