Improving Compliance with Data Governance

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!

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.

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.

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