I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...

In this contributed article, editorial consultant Jelani Harper offers a number of important trends in data modeling for 2021, specifically inroads for attaining the universal data model ideal. Common ...

Ingesting large volumes of disparate data can yield a rich source of information — but it's also a recipe for data chaos. Use these tips to improve data quality as your data lake grows. Image: ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

Data lakes and data warehouses are achieving a measure of success in modern data architectures, but the emergence of the data lakehouse offers new challenges and opportunities for database ...

The data lake concept generates a lot of excitement and discussion at organizations seeking to get more value from big data. The architectural approach promotes the Hadoop ecosystem to capture and ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

Microsoft has introduced new AI-driven features within the Microsoft Fabric data platform to accelerate application development and improve other enterprise functions. As 2025 approaches, managing ...

Fivetran, the company best known for helping enterprises build their data pipelines, on Tuesday announced the general availability of its newest product, the Fivetran Managed Data Lake Service. The ...