A metadata-driven ETL framework using Azure Data Factory boosts scalability, flexibility, and security in integrating diverse ...

Synthetic data has long been used to create larger training sets for AI while preserving privacy and protecting sensitive ...

Data Warehousing. Hardware and software that support the efficient consolidation of data from multiple sources in a Data Warehouse for Reporting and Analytics include ETL (Extract, Transform, Load), ...

Software product engineering is undergoing a massive transformation, and Google Cloud Platform (GCP) is at the forefront.

This TDWI Data Points report focuses on how enterprises are modernizing their data strategies and architectures to meet the ...

Pure’s Enterprise Data Cloud represents a tangible shift in how enterprises manage data and represents real change at the ...

Report explores how organizations are preparing for AI as well as current challenges and opportunities.

We talk to Pure Storage’s vice-president of AI infrastructure about data quality for artificial intelligence and the need for data engineering to ensure the integrity, completeness and appropriateness ...

Join us for a session highlighting how alternative data can be used to create deep dive analysis on public equities. With this we will uncover near real-time US consumer trends / insights that may ...

Natural disasters can a fleet’s technology infrastructure, but moving business critical systems off site can get companies ...

This repository explores the data and technical architectures needed to enable enterprises to design, develop and deploy business intelligence (BI) and analytical applications that create value from ...