From the course: How Tech Drives Sustainability

Introduction to dig data

From the course: How Tech Drives Sustainability

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Introduction to dig data

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- [Narrator] Big data is a broad term that includes datasets so large or complex that traditional data processing applications are inadequate. Big data does not have a specific size. It typically refers to large sets of information that are difficult to analyze due to the collection of massive and complex datasets. The primary goal of big data management is to ensure a high level of data quality and accessibility for business intelligence and big data analytics applications. Additionally, big data has the potential to transform businesses by improving efficiency, increasing profitability and enhancing customer relationships. But in order to maximize that potential, organizations need to deploy the right tools and strategies for managing their big data. Big data management strategies help us contend with fast growing pools of data, typically involving many terabytes or even petabytes of stored information in a variety of file formats. Effective big data management strategies particularly helps companies locate valuable and unseen information in large sets of unstructured and semi-structured data from various sources. This includes the huge quantities of data, social media, analytics, and real time data as examples. These datasets are a call to action and the insights you gain from big data can inspire the changes we need to realize aiming to make the world of work more sustainable. We can use this knowledge as a way of addressing some problems that exist today. To do this, we must utilize all of our knowledge about technology and data in order to protect it from harm, especially with big data deployments as they are valuable targets to would be intruders.

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