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Data Warehouse and Analytics Project A modern data warehouse with SQL Server, including ETL processes, data modelling and analytics.
🚀 Project Requirements Building the Data Warehouse (Data Engineering) Objective Develop a modern data warehouse using SQL Server to consolidate sales data, enabling analytical reporting and informed ...
The FDA has issued its much-anticipated final guidance on cybersecurity risk management in medical devices, effective June ...
Microsoft adds retail pricing and cost breakdowns to SQL Server migration assessments in Azure Arc, making planning faster and easier.
Strategy (formerly MicroStrategy) is debuting Strategy Mosaic, an AI-powered Universal Intelligence Layer designed to enable AI applications by connecting disparate data sources across the enterprise, ...
The infrastructure behind AI agents isn't static—it’s a living, evolving system. Designing effective data pipelines means ...
In Part 1, we explored the challenges of implementing machine learning and real-time analytics in semiconductor ...
Westgold Managing Director and CEO Wayne Bramwell commented: "Westgold is rapidly unlocking the value we identified at Beta Hunt. This is a circa 7km long, multi-lode mineralised system that is ...
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