Analytics

To extract information from collected data, such as customer preferences, data analysis techniques are used—for example, the MapReduce mechanism, which is a distributed data processing method. It is part of the core functionality of the Hadoop ecosystem and is currently employed by many very large organizations such as Amazon, Google, and Facebook.

The aforementioned MapReduce mechanism handles large datasets by dividing them into smaller parts and then processing each separately. It distributes the required computations or queries across a very large number of computers. Typically, many thousands of processors are used for parallel processing of large amounts of data, but this process is scalable and consists of several components: the mapping component, the shuffling step, and the reducing component. The mapping component is written by the user and is responsible for preparing the data of interest. The shuffling step is the core part of the MapReduce mechanism and is responsible for grouping data by keys. Finally, the reducing component, also provided by the user, collects the data and produces the final result. The obtained output is then sent to HDFS for storage.

Advanced knowledge management platforms use technologies such as artificial intelligence, machine learning, and enterprise search to extract meaning from large datasets. AI-based systems automatically categorize and tag content, enabling much more precise searches and personalized recommendations. Enterprise tools index multiple data sources, allowing complex datasets to be searched within seconds. By transforming dispersed data into actionable insights, companies can turn their massive datasets into easily accessible and practical information that helps streamline business processes. The combination of Big Data and knowledge management systems enhances information and makes it easy to use in the context of improving productivity and decision-making. Big Data provides vast datasets which, once analyzed, reveal hidden patterns, customer preferences, and market trends. Knowledge management systems can gather this valuable knowledge together with the company’s existing knowledge and make it readily available to employees.