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Ten Trends in Data Science 2015 본문

Ph.D Course/Data Science

Ten Trends in Data Science 2015

지식 연주가 Knowledge Designer 2015.01.10 02:28


1. Rise of Data Virtualization

2. Hybrid Data Stores Become More Common


3. Semantics Becomes Standard


4. Hadoop Without Map-Reduce and Map-Reduce Without Hadoop


5. Databases Become Working Memory


6. Towards a Universal Data Query Language


7. Data Analytics Moves Beyond SQ


8. The JavaScript Stack Solidifies


9. Data Science Teams


10. Data Visualization and Flexible Reporting Becomes Real



<https://www.linkedin.com/pulse/ten-trends-data-science-2015-kurt-cagle>

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