Batch Data Processing
Batch data processing is an efficient way of processing high volumes of data is where a group of transactions is collected over a period of time. Data is collected, entered, processed and then the batch results are produced (Hadoop is focused on batch data processing). Batch processing requires separate programs for input, process and output. [Source: Data Science Central]
Beam
A multi-cloud governance service that provides cost monitoring, accounting, optimization, and security monitoring capabilities for CloudBank.
Big Data & Analytics
Big data is a combination of structured, semistructured and unstructured data collected by organizations that can be mined for information and used in machine learning projects, predictive modeling and other advanced analytics applications. [Source: TechTarget]. Big data analytics is the often complex process of examining large and varied data sets, or big data, to uncover information -- such as hidden patterns, unknown correlations, market trends and customer preferences -- that can help organizations make informed business decisions.[Source: TechTarget]
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Block Storage
Block storage is an approach to data storage in which each storage volume acts as an individual hard drive that is configured by the storage administrator. In the block storage model, data is saved to the storage media in fixed-sized chunks called blocks. Each block is associated with a unique address, and the address is the only metadata assigned to each block. [Source: TechTarget]