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Data is everywhere today. In recent years we’ve experienced an exponential increase in availability of data—an increase that is widely known as “big data.” Today’s data sources reach far beyond traditional transaction systems. They include smartphones, social media, sensor and machine data, consumer wearables, smart devices such as utility meters, and much more. Data volume is only one of the big data challenges. Data variety and velocity—many types of structured and unstructured data arriving at high speed—compound the complexities of working with big data.
Big data technologies—data platforms, ingestion tools, integration tools, and NoSQL databases—help to meet big data challenges. With up-to-date technologies and skills data volume, variety, and velocity can be effectively managed. But technical management of big data is only the first step in harnessing big data. It is what you do with big data that matters most. Integrating big data into the business, increasing value density of big data, enabling data science, artificial intelligence, and machine learning—these are the real opportunities of big data.
This 3 hour 15 minute course addresses both business and technical interests, providing guidance about how to fit big data into your enterprise. This practical session will help you make the most of big data and realize the value opportunities in all of the data that is available to you.
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Course Review from 6/29/2023 
