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 … Continue reading Improving Compliance with Data Governance
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 … Continue reading 5 Must-Know Secrets of Python Functions!
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.
Data Lakes vs Data Warehouses: When to Choose What?
Data lakes store raw, unprocessed data for flexible exploration, real-time analysis, and to disburden data warehousing. Data warehouses organize structured data for business reports, quick access to specific information, and analyzing historical trends. Choosing between them depends on data types, goals, budget, and skills, as there is no one-size-fits-all solution in data storage.
Importance of ‘Assert’ in Python
Python's assert statement often goes unnoticed, but it is a valuable debugging tool. It efficiently checks code correctness during runtime, revealing bugs early in development. However, caution is advised as it should not replace data validation or error handling. Understanding when and how to use assert statements can enhance code maintainability and save time in debugging.
How to Develop an Ontology in Your Organization
Data ontology is crucial for leveraging vast amounts of information in today's fast-paced world. It involves components like concepts glossary, hierarchy, attributes, relationships, and constraints, and it helps organizations make sense of data from different parts of the organization. Developing an ontology involves defining scope, concepts, hierarchy, properties, relationships, constraints, and generating specific instances. It's important to remember that ontology development is a dynamic process.
How Data Ontology is Next Big Thing?
What is Ontology? It literally means - a set of concepts and categories in a subject area or domain that shows their properties and the relations between them. It generally gets used in philosophical terms, but we are here to talk about its application in Data world. Data Ontology So, Data Ontology is a way … Continue reading How Data Ontology is Next Big Thing?
5 Practical Use Cases of Python Decorators You Should Know
Python decorators allow you to enhance and modify the behavior of functions, methods, and classes without permanently altering the original code. Practical applications include logging, caching for improved performance, input data validation, retry mechanisms for resilience, and authorization for access control. Experimenting with decorators can reveal their wide-ranging benefits in various work scenarios.
Create AWS Athena View Using AWS CDK
Athena Views!Sounds like SQL Views, correct? To some extent they are, means athena view is also a logical table and it does not hold any physical data.Good news is that manually, it is created similarly as SQL view, but what if you need to create it programmatically? In today's era most of the companies follow … Continue reading Create AWS Athena View Using AWS CDK
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