Ravindra Singh

Choosing the appropriate data ingestion patterns is paramount for modern app development. Here are 5 patterns to help you start.

A semantic data layer provides a contextual view of your data to help you extract meaning from it. Here's how it can benefit you.

Semantic data models help you discover valuable real-world relationships. Here are 3 examples of how you can use these models.

The data discovery process makes data meaningful by finding hidden patterns and trends. Here is a 5-step guide on how it works.

Data discovery and classification are pivotal to formulating your organization's business strategy. Let's understand how.

Enterprises are engulfed by data. To store and manage it effectively, you need a data ingestion framework. Here's what that looks like.

Data ingestion vs data integration: They may sound similar but are not synonymous. Here is how these two processes actually compare.

Good data ingestion architecture is vital for any organization to stay competitive; here is a guide to help you get started.

You often hear the term "data-driven" today, but how does it apply to the world of intelligence? Here's an article on data-driven intelligence.