engleski

Big Data in Data Warehouses

The amount of data grows every day. Along with that, new challanges and needs appear. We wonder how to collect and process this enormous amount of data and to get the information we need for bussiness management. Tools and technologies for that task should be scalable, distributed and with high bandwidth so we can quickly get to the information we want. As a solution impose NoSQL databases. But databases without a high quality system for processing and analysis of data are not very helpful. Some solutions that have started to address these problems appeared, but there is still room for development. Some of these solutions are Apache Hadoop and Hive, which are used every day in big companies like Facebook and Google. This paper provides insight into existing technologies that implement such solutions, which have their advantages and disadvantages, and we will try to predict how this story will develop in the future.

Big Data; Data Warehouse; NoSQL; Hadoop; Hive

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