Big Data Management Systems
In some ways, big data is just what it sounds like—lots and lots of data. But big data also comes in a wider variety of forms than traditional data, and it’s collected at a high rate of speed. Think of all the data that comes in every day, or every minute, from a social media source such as Facebook. The amount, variety, and speed of that data are what make it so valuable to businesses, but they also make it very complex to manage.
As more and more data is collected from sources as disparate as video cameras, social media, audio recordings, and Internet of Things (IoT) devices, big data management systems have emerged. These systems specialize in three general areas.
- Big data integration brings in different types of data—from batch to streaming—and transforms it so that it can be consumed.
- Big data management stores and processes data in a data lake or data warehouse efficiently, securely, and reliably, often by using object storage.
- Big data analysis uncovers new insights with analytics and uses machine learning and AI visualization to build models.
Companies are using big data to improve and accelerate product development, predictive maintenance, the customer experience, security, operational efficiency, and much more. As big data gets bigger, so will the opportunities.
