From the course: Azure Cloud Fundamentals: Explore Cloud Services

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Big data and analytics

Big data and analytics

- [Instructor] Big data analytics refers to the methods, tools, and applications that are used to collect, process and derive insights from varied, high-volume and high-velocity datasets. These datasets may come from variety of sources, such as web, mobile, email, social media, and networked smart devices. The data source can range from structured to semi-structured and unstructured data. There can be various reasons for analyzing these large amounts of data. One of the scenarios can be looking at the older data to analyze the sales trends of an organization during the holiday seasons. This in-depth data analysis can help the business take appropriate steps to ensure smooth functioning during peak loads. Open-source cluster technologies have been developed over time to deal with these large datasets. Microsoft Azure supports a broad range of technologies and services to provide big data and analytical solutions…

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