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TDWI's team of expert analysts wrote a new book to show you how to leverage a modern cloud data warehouse as part of an end-to-end value pipeline.
To succeed in machine learning, enterprises must embrace the full machine learning life cycle in a unified way.
Most organizations want to expand users’ self-reliance with BI, visual analytics, and data preparation.
This TDWI Insight Accelerator focuses on how organizations can reduce TCO without negatively impacting the business benefits they seek through expansion of BI and analytics.
In the rush to the cloud, organizations are in danger of paying too little attention to modernizing cloud data management.
This e-book sheds light on how today’s enterprises can address their data challenges head on and enjoy the benefits data analytics offers.
This report describes the five key technical architectural requirements that any platform for data warehouse modernization must satisfy.
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