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Introduction
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Big Data
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Big Data is a Big Thing
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What is Big Data
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What is Big Data supposed to do
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How to measure Big Data
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Identifying promising sectors
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Lack of talent
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Volume
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Data Availability
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Privacy
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Data Dogmatism
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Data Discovery
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Data Management
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Data Science
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Integration
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Underlying Architecture
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Batch Processing
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SemiStructure Unstructured
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pros and cons
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projects
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technical issues
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open source benchmarks
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the common good challenge
Description:
Explore the challenges and opportunities presented by Big Data in this 50-minute conference talk from GOTO Aarhus 2012. Delve into the potential social impact of research and development in the field of Big Data, beyond its commercial applications. Examine key aspects such as data volume, availability, privacy, and management. Learn about promising sectors, talent shortages, and technical issues in Big Data. Discover the importance of data science, integration, and underlying architectures. Investigate batch processing, semi-structured and unstructured data, as well as open source benchmarks. Consider the "common good challenge" and how Big Data can be leveraged for societal benefit. Gain insights from Prof. Dott. Ing. Roberto V. Zicari of Goethe University Frankfurt on balancing corporate interests with social impact in the realm of Big Data.

Big Data - Challenges & Opportunities

GOTO Conferences
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