Predictive maintenance for Aerospace Product Manufacturing

October 4, 2017

TOREADOR follows a Model-based Big Data Analytics-as-a-Service (MBDAaaS) approach, providing models of the entire Big Data analysis process and of its artefacts. Declarative Models: Service goals of Big Data Pipeline. Procedural Models: How BDA should achieve the objectives. Deployment Models: How the BDA process should work. TOREADOR will deliver an architectural framework and a set of components for model-driven set-up and management of Big Data analytics processes.

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Pivotal

Pivotal’s cloud native platform drives software innovation for many of the world’s most admired brands. With millions of developers in communities around the world, Pivotal technology touches billions of users every day. After shaping the software development culture of Silicon Valley's most valuable companies for over a decade, today Pivotal leads a global technology movement transforming how the world builds software.

OTHER WHITEPAPERS
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Harnessing Hadoop: Understanding the Big Data Processing Options for Optimizing Analytical Workloads

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Asserting that data is vital to business is an understatement. Organizations have generated more and more data for years, but struggle to use it effectively. Clearly data has more important uses than ensuring compliance with regulatory requirements. In addition, data is being generated with greater velocity, due to the advent of new pervasive devices (e.g., smartphones, tablets, etc.), social Web sites (e.g., Facebook, Twitter, LinkedIn, etc.) and other sources like GPS, Google Maps, heat/pressure sensors, etc. Moreover, a plethora of bits and bytes is being created by data warehouses, repositories, backups and archives.

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THE INTERCONNECT FOR THE EXASCALE ERA

whitePaper | July 9, 2019

Crays next-generation Shasta supercomputer represents a major advancement in the flexibility and capability of Cray supercomputers. The exascale-class system will be the basis of Crays converged architecture for simulation, analytics, AI, and data management over the next decade and beyond.

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Special Issue on Big Data

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Research Trends is proud to present this Special Issue on the topic of Big Data. Big Data refers to various forms of large information sets that require special computational platforms in order to be analyzed. This issue looks at the topic of Big Data from different perspectives: grants, funding and science policy; data and computational infrastructure; arts and humanities, and bibliometrics.

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7 Trends for Data Science in 2021

whitePaper | May 5, 2021

Over the last decade, interest in the field of data science has not only increased enormously, but has also changed and developed considerably. In view of the new technological advances and the constant growth of data, we expect Data Science to continue to develop strongly in 2021. We have identified 7 trends that will be relevant for the coming year.

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The Data Lake Design Pattern:Realize Faster Time to Value with Less Risk

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As data volumes and varieties of data have exploded, organizations have been searching for ways to economically harness and derive value from this goldmine of information. This “dark” data from new sources—such as web, mobile, and connected devices—is all too often deleted, but it contains valuable insight just waiting to be discovered. These massive volumes of data along with new forms of analytics have made it necessary to find a new way to manage and derive value from data—with data lakes emerging in response to this need.

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Connected Data Delivery: Combining Data Unification and Data Preparation

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Innovation at the edges of the Big Data value-chain model has, on the one side, fostered sophisticated BI delivery, and on the other, led to flexible, affordable, and scalable data storage. But in the swampy middle, data delivery continues to play process-innovation catch-up, and is typically muddied with manual data pulls, costly process repetition, error-prone reporting, and unmeasurable data integrity.

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Spotlight

Pivotal

Pivotal’s cloud native platform drives software innovation for many of the world’s most admired brands. With millions of developers in communities around the world, Pivotal technology touches billions of users every day. After shaping the software development culture of Silicon Valley's most valuable companies for over a decade, today Pivotal leads a global technology movement transforming how the world builds software.

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