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The adoption of cloud data warehousing is no longer seen as teetering on the bleeding edge of technology; a growing number of organizations are already using a cloud data warehouse or cloud data lake to support enterprise business intelligence, reporting, and dashboards. Businesses that migrate to the cloud still face challenges that complicate their ability to leverage cloud-based resources.
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Data demands are exploding as organizations democratize access and expand into advanced analytics, artificial intelligence (AI), and machine learning (ML). Distributed data environments are putting stress on data integration, turning today’s labyrinth of pipelines and transformation processes into bottlenecks that affect downstream applications.
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Organizations continue to collect mounds of data and it is spread over different locations and in different formats. The challenge is navigating the vastness and complexity of the modern data ecosystem to find the right data to suit your specific business purpose. Data is an important corporate asset and it needs to be leveraged but also protected.
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The Logical Data Warehouse (LDW), a data system encompassing concepts of a traditional data warehouse, includes data from disparate data sources and core data warehouses.Read this eBook for a complete understanding of the LDW, especially regarding common architectural patterns, performance considerations, governance, self-service discovery, and customer success stories.
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Data mesh, data mesh, data mesh. WHAT IS IT??? How many times have we heard this name drop, yet do we really know how it works?
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To drive smarter, more strategic sales activities across Hitachi Ltd.’s group companies, Hitachi Solutions sought a robust solution to optimize sales and CRM data management.
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Denodo’s hybrid approach to data integration, allows different data access & delivery modes, all of which may involve securely accessing sensitive data: real-time from the data sources; from the Denodo cache; or from a staging area (i.e.
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As GenAI accelerates across financial services, data silos and integration complexity can stall progress. Agora on AWS breaks down these barriers with a governed, logical data layer that delivers real-time, virtualized access to AI-ready data - without replication or complex extract, transform, and load (ETL).
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This demo shows how the Denodo Platform integrates with Google’s Vertex AI advanced AI models to power generative AI applications, enabling semantic search, enhancing decision-making and increasing operational efficiencies.
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