Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving ...

Arun Ayilliath Keezhadath, with nearly two decades of experience, transforms cloud data challenges into scalable, cost-efficient, and compliant enterprise solutions through practical architectural ...

The government plans to revise the Statistics Act (2006) in a Sh19.1 billion strategy to revamp how data is collected and ...

Poor data governance can lead to a myriad of issues that include data interpretation inconsistencies, security ...

In a world where brands seek accountability and precision, and retailers seek profitability, retail media sits at the ...

"Our reports cover different segments, geographies, and technologies, providing the latest intelligence on analytical trends, ...

Speedata, whose first-of-its-kind Analytics Processing Unit (APU) is designed to accelerate big data analytic workloads by orders of magnitude across industries, announced the launch of its ...

As advances in scientific and business data collection have exponentially created more data, electric utility companies are seeking new tools and techniques to turn the collected data into operational ...

Cube, the leading provider of semantic layer technology for modern data stacks, is unveiling D3, the first agentic analytics platform built on Cube's universal semantic layer tech. As an agent-native ...

Schmidt, D. H., van Dierendonck, D., & Weber, U. (2023). The Data-Driven Leader Developing a Big Data Analytics Leadership Competency Framework. Journal of Management ...