LATEST POSTS

Improving Compliance with Data Governance

Let’s talk about a company called FinXYZ, a mid-sized financial services firm. They offer loans, investment advice, insurance, and wealth management. Over the years, they’ve collected tons of data—about customers, accounts, transactions, portfolios, risks, and compliance. But there’s a challenge. Different departments store and define data differently. For example, “customer” might mean a loan applicant…

5 Must-Know Secrets of Python Functions!

We all know about Python Functions but let’s go one more time. Python functions are like mini-programs inside your main program. They help you do tasks more easily and avoid repeating the same code. Imagine you are a great Chef and one morning you got a great idea of making a Turkey Sandwich, you made…

Understanding Higher-Order Functions: Python Map, Filter, Reduce

The post discusses three important functions in Python: Map, Filter, and Reduce, which are higher-order functions. Map applies a function to every element in an iterable, Filter acts as a filter based on a specific condition, and Reduce aggregates elements into a single value. These functions are valuable for effective data manipulation in Python.

Maintain Resource Compliance with AWS CloudFormation Hooks

This post discusses AWS CloudFormation Hooks, a feature allowing code to run before creating, updating, or deleting resources in AWS. It enforces business rules, enhancing compliance, and cost efficiency. Basic terminologies include Hooks, Hook Targets, Target Invocation Points, Target Actions, and Hook Handlers. The next post will provide a working example.

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