Optimized NoSQL Data Processing and Schema Management

📅 2024-09-16 — Session: Optimized NoSQL Data Processing and Schema Management

🕒 22:00–23:50
🏷️ Labels: Nosql, Data_Processing, Schema, Python, AI
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to optimize data processing workflows, enhance the handling of JSON schemas, and improve data extraction processes.

Key Activities

• NoSQL Workflow Optimization: Implemented a workflow to enhance data processing efficiency by avoiding reprocessing of previously handled resolutions identified by their url field.
• JSON Parsing Fix: Resolved issues with schema key interpretation in JSON parsing, ensuring keys are handled as a list of strings.
• Schema Key Formatting: Ensured schema_keys are correctly formatted as lists in data processing scripts using ast.literal_eval.
• Schema Analysis: Analyzed NoSQL schemas for resolutions, identifying missing components and recommending improvements.
• AI Schema Enforcement: Developed strategies to prevent AI model hallucinations by enforcing strict schema adherence.

Achievements

• Successfully optimized NoSQL data processing workflows.
• Fixed schema key interpretation issues in JSON parsing.
• Improved schema key handling and formatting in Python code.
• Provided detailed analysis and recommendations for NoSQL schema improvements.
• Enhanced schema enforcement in AI model data extraction processes.

Pending Tasks

• Further refinement of schema extraction logic to maintain full schema depth in results.
• Implementation of recommended schema improvements for NoSQL resolutions.