https://console.cloud.google.com/marketplace/product/katalyststreet-public/sq-33833?hl=en&project=api-project-266032973323

1) You will need to create a project on Google Cloud 

2) The project should be associated with your corporate billing account. 

Step-2 : Deploy the DeltaMax Virtual Machine in your Organization

Step-3 : Ensure that VM is updated, if required install python3-full latest version, venv 

Step-4 : Start running the codes - DeltaMax_synthetic_data_generator.py

Step-5 : Install  jupyter nbcovert to convert python note books to python text files for running on CLI environment

Step-6 : Install  pandas  for running python moudles

Step-7 : Run M1_data loading and Initial Checks.txt

Step-8 : Run M2_Column Type Analysis and Filetering.txt

Step-9 : Run M3_Anomaly Detection (IQR and Isolation Forest).txt

Step-10 : Run M4_Variance Analysis.txt

Step-11 : Run M5_Inter-File Comparison(T-Tests)

Step-12 : Run M6_Inter-File Comparison(PSI)

Step-13: Run M7_Decimal Formatting Mismatches

Step-14: Optional Run M8_Bit field changes (Skipping this step)

Step-15: Run M9_String Length Mismatches.txt

Step-16:   Run  M10_Data Type Mismatch Detection.txt

Step-17:   Run  M11_Data Preprocessing and Imputation.txt

Step-18:   Run  M12_Business Unique Analysis.txt

Step-19:   Run  M13_Create A or B Merged file with col_A and col_B.txt

Step-20:   Create a gcloud storage and load the csv files

Step-21:   Load the csv files to Big Query Tables

Step-22:   Run the SQL query to create A_or_B_with_Anomalies table

Step-23:   Load the Big Query Tables to Looker and create reports and Visualizations as needed 

Step-24:   Reach out to Katalyst Street Professional Services for Custom Visualizations and Reports