In this 2018 paper published in Scientific Programming, Zhu et al. review the state of big data in the geological sciences and provide context to the challenges associated with managing that data in the cloud using China's various databases and tools as examples. Using the term "cloud-enabled geological information services" or CEGIS, they also outline the existing and new technologies that will bring together and shape how geologic data is accessed and used in the cloud. They conclude that "[w]ith the continuous development of big data technologies in addressing those challenges related to geological big data, such as the difficulties of describing and modeling geological big data with some complex characteristics, CEGIS will move towards a more mature and more intelligent direction in the future."
In this 2016 article published in JMIR Medical Informatics, Kruse et al. of the Texas State University present the results of a systematic review of articles and studies involving big data in the health care sphere. From this review the team identified nine challenges and 11 opportunities that big data brings to health care. The group describes these challenges and opportunities, concluding that either way "the vast amounts of information generated annually within health care must be organized and compartmentalized to enable universal accessibility and transparency between health care organizations."
Once again, we´re setting the stage for discussions on strategies and implementation of 21th century technologies in the laboratory. We´ll discuss about the key milestones to generate solid business insights from the laboratory. Connect with colleagues who share similar operational issues as you have. Learn about user´s case studies and how they are deployed into their processes. Discover the informatics trends from cutting-edge thought leaders. Be in the know about the last informatics tools and methodologies in a creative and productive atmosphere.
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