Global Data Management in the Cloud

Organizations that operate worldwide typically need to manage data both locally and globally. Local business units and subsidiaries must address region-specific data and accounting standards, regulations, customer requirements, and market drivers. At the same time, corporate headquarters must share data broadly and maintain a complete view of performance for the entire enterprise. For many global firms, data is the business. They need state-of-the-art data management just to remain innovative and competitive. Hence, multinational businesses face a long list of new business and technical requirements for modern data management.
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Spotlight

OTHER ON-DEMAND WEBINARS

Deploying Advanced Analytics at Genentech

Learn how Genentech is improving production outcomes, accelerating time to insight, and driving collaboration with advanced analytics. In this webinar, you’ll be introduced to Genentech’s journey with advanced analytics as illustrated through practical use case demonstrations. Discover how diagnostic, descriptive, and predictive analytics tools are leveraged to drive rapid investigation and improved decision-making.
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Visualizing Geospatial Data at Scale

Arcadiadata

Geospatial data is everywhere today. Your mapping capabilities need to handle the growing volumes of “big data” to deliver location-based insights at any level. Large-scale mapping use cases require a scalable and real-time visualization platform that enables self-service analysis. End users need a fast, interactive system that can immediately display any view of their data on demand.
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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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Real-Time Data Pipeline Automation for Databricks

Qlik offers solutions for creating analytics-ready data sets on the Databricks’ Unified Analytics Platform. They are designed to automate streaming data pipelines to make data seamlessly available to accelerate machine learning (ML), artificial intelligence (AI) and data science initiatives.
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