Data modeling skills include conceptual and analytical thinking, data domain knowledge, data modeling languages and tools, such as SQL, ERD, or UML, and data governance and documentation practices.

The infrastructure behind AI agents isn't static—it’s a living, evolving system. Designing effective data pipelines means ...

At Truist, the data is stored with Snowflake Inc. Qlik manages the pipeline so that data isn’t getting moved around more than necessary, and Truist’s employees have a smoother experience.

Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire ...

Lakeflow Designer and Agent Bricks technology unveilings for building data pipeline workflows and AI agents, respectively, are on tap at Wednesday’s Databricks Data + Summit. With new ...

UML activity diagrams UML activity diagrams depict step-by-step processes with a clear beginning and end. Activity diagrams are relevant in many business contexts and can be an excellent tool for ...

General-purpose large language models (LLMs) have become a versatile tool in software development and maintenance. These models offer support in tasks such as under-standing, writing, and summarizing ...

The objective of this project is to design and implement a scalable, cloud-based data engineering pipeline for an e-commerce platform using Azure services. The pipeline will enable efficient data ...

In this paper we describe the need for a framework to support collaborative educational research with game data, then demonstrate a promising solution. We review existing efforts, explore a collection ...