Big data refers to data that would typically be too expensive to store, manage, and analyze using traditional (relational and/or monolithic) database systems. Usually, such systems are cost-inefficient because of their inflexibility for storing unstructured data (such as images, text, and video), accommodating “high-velocity” (real-time) data, or scaling to support very large (petabyte-scale) data volumes. The ability to consistently get business value from data is now a trait of successful organizations across every industry, and of every size. In some industries (such as Retail, Advertising, and Financial Services, with more constantly joining the list), it’s even a matter of survival. Data analytics only returns more value when you have access to more data, so organizations across multiple industries have found big data to be a rich resource for uncovering profound business insights. And, because machine-learning models get more efficient as they are “trained” with more data, machine learning and big data are highly complementary.
Saturday, October 31, 2020
8:00 AM – 10:00 AM UTC
Tech Talk |
Hands-on |
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ITB
Human Resource
Institut Teknologi Bandung
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