Essays about: "big data handling"
Showing result 1 - 5 of 63 essays containing the words big data handling.
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1. Big Data Analytics Using Apache Flink for Cybercrime Forensics on X (formerly known as Twitter)
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : The exponential growth of social media usage has led to massive data sharing, posing challenges for traditional systems in managing and analyzing such vast amounts of data. This surge in data exchange has also resulted in an increase in cyber threats from individuals and criminal groups. READ MORE
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2. Evaluating Data Quality for behavioural event data using semiotic theory : Analysing how data roles perceive Data Quality and how it is influenced by Data Quality awareness and experience
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Today companies are handling and producing big data. To maximise the value of the data, companies need to achieve high data quality (DQ), and be able to measure it. This study analyses if semiotic framework is suitable to asses DQ for big data, specifically for behavioural event data. READ MORE
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3. Quality Assurance of Recycled HDPE in the Plastic Packaging Industry
University essay from Lunds universitet/InnovationAbstract : The recycling of plastic has the potential to support circular material use, thus decreasing the need for virgin plastics. However, there is an existing issue with assuring quality of recycled plastic materials, causing finished products to perform with poorer properties and unexpected deviations. READ MORE
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4. Quality Assurance of Recycled HDPE in the Plastic Packaging Industry
University essay from Lunds universitet/InnovationAbstract : The recycling of plastic has the potential to support circular material use, thus decreasing the need for virgin plastics. However, there is an existing issue with assuring quality of recycled plastic materials, causing finished products to perform with poorer properties and unexpected deviations. READ MORE
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5. Exploring the Phenomenon of Data Science : An Exploratory Study of the Field and its Scientists
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : The recent abundance of data combined with the current digitalisation all over the globe has made organisations across various industries become more involved with data-driven processes. The power of data is harnessed through wrangling and analysis in order to not only create valuable insights to guide strategic decision-making but to also improve efficiency and productivity. READ MORE