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Showing result 1 - 5 of 22 essays matching the above criteria.
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1. A Comparative Analysis of the Ingestion and Storage Performance of Log Aggregation Solutions: Elastic Stack & SigNoz
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : As infrastructures and software grow in complexity the need to keep track of things becomes important. It is the job of log aggregation solutions to condense log data into a form that is easier to search, visualize, and analyze. READ MORE
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2. Big Data and Analytics with Driving Data : Implementation and Analysis of Data Pipeline and Data Processing Resources
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : This thesis project was conducted in cooperation with Zenseact for the purpose of investigating the possible usage of Google BigQuery and its capabilities to store and provide insights of large time-series data. An end-to-end data pipeline was built to facilitate the movement of data from Zenseact's local servers and ingestion into BigQuery. READ MORE
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3. An exploration of the relationship between skeletal muscle mass and glucose intolerance in healthy young adults
University essay from Högskolan i Halmstad/Akademin för företagande, innovation och hållbarhetAbstract : Background Type 2 diabetes mellitus (T2DM) is a globally prevalent disease anticipated to double from 500 million diagnosed cases in 2021 to more than one billion by 2050. The investigation of the potentially protective effects of skeletal muscle mass on glucose intolerance may lead to the development of more precise screening protocols. READ MORE
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4. Data Pipeline Design for Audit Analytics : Data Ingestion Tools Evaluation & Proof of Concept
University essay from Umeå universitet/Institutionen för tillämpad fysik och elektronikAbstract : The amount of data and its importance is increasing for many industries. To fully take advantage of the data it must be easily accessible and understandable for the user. From a software perspective, the applications used for analyzing the data should be developed with this aspect in mind. READ MORE
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5. Lakehouse architecture forsimplifying data sciencepipelines
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Data management and pre-processing often consume the majority of time spent by datascientists. The data architecture and the configuration of data pipelines significantly influencethe efficiency of this work. READ MORE