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        <description>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.</description>
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        <description>Big Data

Big Data is a term referring to extremely large and complex datasets generated by both humans and machines. They cannot be easily managed or analyzed using traditional data processing tools, especially ordinary spreadsheets. The term encompasses:</description>
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        <description>Benefits of combining Big Data and KMS

The combination of these two systems allows businesses to enhance competitiveness by understanding current market trends. The synergy between managing existing knowledge and continuously analyzing data in real time enables improvements in nearly every aspect of a company. Through Big Data analysis, companies can improve their products and features, reduce production costs, implement dynamic pricing models, and personalize offers and discounts—creating grea…</description>
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        <description>*  Michał Jagielski, „Rola i znaczenie zarządzania wiedzą dla przedsiębiorstw z sektora MSP”, 2018
	*  Sam Hijazi, „Big Data and Knowledge Management: A Possible Course to Combine Them Together”, 2019
	*  Michael Chen, „Co to jest Big Data?”, Oracle Polska, 23.09.2024, access: 20.12.2025</description>
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        <description>Author

Przemysław Bączek

About me

I am a fourth-year student of Computer Science in Computer Engineering at the Faculty of Electrical and Computer Engineering. This website was created as part of a project for the course Information Management Systems.</description>
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        <description>Practical approach

Knowledge within an organization is dynamic and becomes updated in real time. Currently, in Big Data we have the ability to collect data from customers as well as gather market data, social media data, system logs, and sensor data.</description>
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        <description>Data storage

Computer technology is developing very rapidly. In the 1980s, the average capacity of a hard drive for a personal computer was 5MB (if the computer even had a hard drive at all). Today, it is possible to purchase drives with a capacity of up to 8TB of data. Although this may seem like a very large amount, it is actually quite small when compared to the estimated volume of new data produced daily, which reaches 2.5 EB — about 2.5 million TB.</description>
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        <description>Example

For testing purposes, the Yelp Dataset was downloaded, containing 6,990,280 reviews, 150,346 businesses, 11 metropolitan areas, and 200,100 photos. Apache Spark was responsible for data processing. It was decided that, based on the data, verification would be carried out to determine which attributes influence the rating that customers give to a venue on a scale of 1 to 5 stars. As a first step, sample data was displayed along with the names of the individual columns included in the dow…</description>
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	*  Big Data advantages and disadvantages
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	*  Benefits and applications</description>
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        <description>The page covers an analysis of the relationship between the concept of Big Data and knowledge management systems (KMS). It describes how large data sets can be utilized to generate value for an organization.
Nowadays, enterprises that want to grow and effectively compete with other market players must possess appropriate knowledge resources. These resources enable them to monitor processes occurring in the organization’s environment and then properly identify and exploit market opportunities. Th…</description>
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        <description>Advantages of Big Data

Large datasets enable the understanding of trends and patterns across various data sets to gain a complete picture. This facilitates analysis and enhances predictive capabilities, providing more accurate forecasts and allowing for strategic decision-making. When combined with artificial intelligence, we can go beyond traditional analytics and enable the implementation of innovative solutions as well as stimulate transformation.
More accurate answers are increasing trust i…</description>
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