SPATIO-TEMPORAL ANALYTICS AND BIG DATA MINING MSc / 2019/20 ENTRY

January 24, 2019

With the rapid development of smart sensors, smartphones and social media, "big" data is ubiquitous. This MSc teaches the foundations of GIScience, databases, spatial analysis, data mining and analytics to equip professionals with the tools and techniques to analyse, represent and model large and complex spatio-temporal datasets.

Spotlight

Trg - The Resource Group

We are an investment holding company specializing in the business process outsourcing sector. We have an unbroken track record of over a decade in generating positive returns on each investment we have made. We pride ourselves on our extensive operational focus throughout the investing cycle, and have never incurred loss on an investment since the inception of our partnership in 2002.

OTHER WHITEPAPERS
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A Modern Data Architecture

whitePaper | April 7, 2021

Assembling the perfect data stack is impossible. But for most data teams, the path to leveraging rapidly evolving tech and best-in-class tools is even more difficult when it’s impeded by the pitfalls of monolithic legacy applications.

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Logical Data Fabric

whitePaper | December 27, 2022

In this whitepaper we will define “data fabric,” look at different implementation strategies, and highlight the value of a logical approach. The paper will delve more deeply into the technical architecture of a logical data fabric and the key components to build a successful one, including the role played by artificial intelligence (AI) and data virtualization.

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Enterprise Data Orchestration

whitePaper | June 3, 2021

Data growth continues at an exponential rate even as cloud architectures make data management more complex and advanced applications necessitate more data movement. So what can be done to enable clean data capture and movement across an enterprise? Read this white paper to learn the requirements for data orchestration at scale and discover how you can build a holistic data architecture that enables successful DataOps.

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Enhancing data mesh: How distributed ledger solutions empower decentralized governance

whitePaper | June 27, 2023

Data mesh is an innovative approach to data management that offers a solution to the most common challenges organizations face when dealing with large-scale data management. Data mesh concept consists of four key principles for large-scale data management in a multi-tiered, multi-domain organizational structure: domainoriented ownership, data as product, federated computational governance and a self-service data platform. These all promote a more agile, efficient and scalable data architecture. However, one of the central challenges to implementing data mesh is designing decentralized governance mechanisms that align with its core principles.

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Dell PowerProtect Data Manager: Deployment Best Practices

whitePaper | July 28, 2022

Data protection has become an integral and essential part of any successful business. The need to provide a powerful, scalable, and simple disaster and operational recovery solution is at an all-time high.

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Human-Proofing Sensitive Data Governance with Automated Data Classification

whitePaper | December 1, 2022

IT and business leaders are increasingly seeking to harness the valuable data they collect every day to transform their business operations. Yet, these data assets are only as valuable as their organization’s ability to securely access and convert siloed information into scalable enterprise-wide insights. Even though every modern enterprise generates a goldmine of data, many lack the necessary infrastructure to mitigate data privacy and security concerns enough to fully leverage that data for informed decision-making and maximum impact.

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Spotlight

Trg - The Resource Group

We are an investment holding company specializing in the business process outsourcing sector. We have an unbroken track record of over a decade in generating positive returns on each investment we have made. We pride ourselves on our extensive operational focus throughout the investing cycle, and have never incurred loss on an investment since the inception of our partnership in 2002.

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