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The primary goal is to seamlessly integrate blockchain transaction data into our data ETL, allowing for real-time analysis and transactions visualisation in the Nolus Webapp. This integration should support our existing infrastructure while providing scalability for future growth.
Data Extraction:
Implement a reliable method for extracting transaction data from the Nolus blockchain. This should include but not be limited to transaction Hash, timestamps, amounts, sender and receiver addresses, transaction fees, memos, etc.
!Important
Transaction data should also include events emitted from lease smart contracts like high liability, overdue, partial, full liquidation and triggers for high LTV.
Data Transformation:
Incorporate data validation and cleansing to ensure accuracy and integrity of the transaction data.
Data Loading:
Automate the loading of transformed data into our ETL, ensuring minimal latency to support real-time analytics.
Design the schema in the ETL to optimize for query performance and data analysis.
The text was updated successfully, but these errors were encountered:
The primary goal is to seamlessly integrate blockchain transaction data into our data ETL, allowing for real-time analysis and transactions visualisation in the Nolus Webapp. This integration should support our existing infrastructure while providing scalability for future growth.
Data Extraction:
Implement a reliable method for extracting transaction data from the Nolus blockchain. This should include but not be limited to transaction Hash, timestamps, amounts, sender and receiver addresses, transaction fees, memos, etc.
!Important
Transaction data should also include events emitted from lease smart contracts like high liability, overdue, partial, full liquidation and triggers for high LTV.
Data Transformation:
Incorporate data validation and cleansing to ensure accuracy and integrity of the transaction data.
Data Loading:
Automate the loading of transformed data into our ETL, ensuring minimal latency to support real-time analytics.
Design the schema in the ETL to optimize for query performance and data analysis.
The text was updated successfully, but these errors were encountered: