The energy sector is in the midst of the biggest technological disruption. Efficient data management has become one of the main concerns for oil and gas businesses. Sensors and machines produce a massive volume of unstructured data in real-time, making […]
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Data Model-Centric Approach to Data Warehousing
Data warehouses are well-knitted information powerhouses that store terabytes
Data Model Verification to Improve the Quality of Your Data Warehouse Schema
What does it take to ensure the quality and robustness of your data warehouse implementation? An in-depth data model verification system that allows you to thoroughly check your source and destination models and help fix them before they are ever deployed. Because if your data warehouse schema is accurate, the subsequent data loading and reporting processes will automatically be streamlined and error-free.
Modernize Your Data Architecture with a Best-Practices Approach to Dimensional Data Modeling
Dimensional data modeling has been the foundation of effective data warehouse design for decades. Kimball’s methodology promises optimized query performance and a streamlined structure that’s easily understood by stakeholders at every level of the enterprise. Read on to find out […]
Jumpstart Data Warehouse Development with Automated Enterprise Data Modeling
What if you could combine data warehouse design and development in a seamless, automated process that took you from basic reporting to advanced high level analytics in just weeks? Well, get data modeling process right, and you can build a […]