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Panelists: Kyle Dobson, Practice Lead, BI and Analytics, DevFacto, Antonio Figueroa Barraza, CEO, Raken Data (LATAM) and Arif Rajwani, Partner, BDO Canada. Moderator: Robert Eckersley, Director, Partner & Channels Sales, Denodo
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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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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 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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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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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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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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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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Public sector organisations are constantly striving to leverage the full value of their data to improve the lives of citizens, offer improved services, drive efficiencies, and streamline compliance. But legacy data infrastructure is inhibiting their ability to meet these goals.
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TDWI Webinar On-Demand: Building the Unified Data Warehouse and Data Lake – Results of New TDWI Best Practices Research
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