Many factors contribute to the increased volume of data, such as Transaction-based data stored over the years, the data streaming in social media, and increased the amount of data and the sensor data of machine-to-machine is collected. Excessive data storage volume is a problem. If storage costs lowered, other issues will come up, including how to determine the relevance of large volumes of data and how to use the analysis of the relevant data to provide added value. Data in any type of format, structured data, the data in the database, the information that is created from the application line-of-business, and data is unstructured text documents, email, video, audio, and data of financial transactions. Manage diverse data collected into one and set it up is something that is still damning for the Organization at any level.
Server SSH
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