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- **MapReduce**: Implement MapReduce jobs to process large documents in a distributed manner. ### 6. Incremental Processing - **Incremental Processing**: Process large documents incrementally instead of loading the entire document into mem…

### Extended Implementation ```python import time import mysql.connector import psycopg2 import pymongo from contextlib import contextmanager # Define the databases to compare databases = { 'mysql': mysql.connector.connect( ho…

- **Example:** ```plaintext - Implement role-based access control (RBAC) to ensure that users can only access resources appropriate to their role. - Continuously monitor user activities and generate alerts for suspicious b…

return {"access_token": "example_token", "token_type": "bearer"} raise HTTPException(status_code=status.HTTP_401_UNAUTHORIZED, detail="Invalid credentials") @app.get("/users/me") def read_users_me(user: User = Depends(check_rol…

request.state.user = user response = await call_next(request) return response # Middleware 3: Security and Logging @app.middleware("http") async def security_logging_middleware(request: Request, call_next): # Example se…

def __init__(self, username, role): self.username = username self.role = role # Example roles and permissions admin_role = UserRole("Admin", ["read", "write", "delete"]) user_role = UserRole("User", ["read"]) # Example…

3. **Configure API Definition:** - Fill in the required fields such as **Name**, **Identifier** (the audience), and **Signing Algorithm**. - Click **Save** to create the API definition. ### Step 2: Set Up Rules to Add Custom Claims …

- Use a Redis hash to store user roles and their corresponding permissions. ```python import redis # Connect to Redis r = redis.Redis(host='localhost', port=6379, db=0) # Store user roles and permissions r.hset('user_roles', 'user1', …