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Data Modeling at the Environment Agency of England Case Study

The Environment Agency uses data models as a key part of their digital journey in reporting scientific results for water quality, fisheries, conservation and ecology, flood management, and more. Join special guest Becky Russell from the Environment Agency along with host Donna Burbank as they discuss how they were able to gain buy-in from various departments across the organization using data models and data standards
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Ce guide Forrester donne des indications aux décideurs IT et à leur équipe sur les fonctionnalités à rechercher et les questions à se poser pour évaluer les besoins en données propres à leur entreprise, et notamment :la protection complète ;l’automatisation et l’orchestration ;la réutilisation des données, la fiabilité et la res

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2020 and Beyond: Architecting Your Data Warehouse for the New Decade

Companies continue to experience a dynamic shift in the growth of enterprise data. Fueled by a wave of emerging startups, innovative technologies and greater competition, the opportunity to drive faster decision-making has exploded – but so too have the questions on the best way to architect analytics-ready BI from the modern cloud-ready data warehouse.
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Securing Mission Critical PostgreSQL Data

Is your team responsible for developing scalable enterprise applications on PostgreSQL databases? Does your company’s current infrastructure lack the ability to recover rapidly from a disaster, data loss, or even a cyber attack like ransomware? Are you looking for industry-leading technologies that can enable fast recovery of mission-critical application data? Is your team measured on recovery point and time objectives for new digital transformation initiatives?
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Data and Analytics Trends for 2019 and Beyond: A Panel Discussion

Gartner

Discussion Topics: - How effective are your current data and analytics initiatives - What trends will most impact how you utilize data and analytics in 2019 and beyond - What must you do to maximize data and analytics in your organization
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Cloudera DataFlow (CDF) is a scalable, real-time streaming data platform that collects, curates, and analyzes data so customers gain key insights for immediate actionable intelligence. It meets the challenges faced with data-in-motion, such as real-time stream processing, data provenance, and data ingestion from IoT devices and
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2020 and Beyond: Architecting Your Data Warehouse for the New Decade

Companies continue to experience a dynamic shift in the growth of enterprise data. Fueled by a wave of emerging startups, innovative technologies and greater competition, the opportunity to drive faster decision-making has exploded – but so too have the questions on the best way to architect analytics-ready BI from the modern cloud-ready data warehouse.
Watch Now

Securing Mission Critical PostgreSQL Data

Is your team responsible for developing scalable enterprise applications on PostgreSQL databases? Does your company’s current infrastructure lack the ability to recover rapidly from a disaster, data loss, or even a cyber attack like ransomware? Are you looking for industry-leading technologies that can enable fast recovery of mission-critical application data? Is your team measured on recovery point and time objectives for new digital transformation initiatives?
Watch Now

Data and Analytics Trends for 2019 and Beyond: A Panel Discussion

Gartner

Discussion Topics: - How effective are your current data and analytics initiatives - What trends will most impact how you utilize data and analytics in 2019 and beyond - What must you do to maximize data and analytics in your organization
Watch Now

Introducing Cloudera Data Flow (CDF)

Cloudera DataFlow (CDF) is a scalable, real-time streaming data platform that collects, curates, and analyzes data so customers gain key insights for immediate actionable intelligence. It meets the challenges faced with data-in-motion, such as real-time stream processing, data provenance, and data ingestion from IoT devices and
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Guide de l’acheteur de sauvegarde moderne

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