Essays about: "open data application"
Showing result 16 - 20 of 276 essays containing the words open data application.
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16. Securing LwM2M with Mbed TLS in Contiki-NG
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : As the Internet of Things (IoT) becomes increasingly integrated into our personal lives and industries, security concerns and attacks on these devices are growing. This concern is one of the major bottlenecks for adopting IoT, as these devices can often collect sensitive information. READ MORE
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17. Auto-Tuning Apache Spark Parameters for Processing Large Datasets
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Apache Spark is a popular open-source distributed processing framework that enables efficient processing of large amounts of data. Apache Spark has a large number of configuration parameters that are strongly related to performance. Selecting an optimal configuration for Apache Spark application deployed in a cloud environment is a complex task. READ MORE
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18. Analysing the Integration of Triple Bottom Line for Sustainability in Corporate Crisis Response : A Case Study of Intercos.
University essay from Uppsala universitet/Företagsekonomiska institutionenAbstract : The severe and far-reaching impact of the crisis in the past few years has promptedcompanies to rethink the inadequacies of the crisis response. Although the previous literatureregarded threat rigidity and innovation to response challenges. READ MORE
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19. Cloud native authorization
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : In the cloud native development approach, a single application can be developed with multiple self-contained services. Each service might be developed by different teams with different programming languages. Each service needs its authorization module. READ MORE
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20. Towards a Data-Driven Football Playbook
University essay from KTH/Medicinteknik och hälsosystemAbstract : At a competitive level, football teams often have multiple matches per week. Thus, time can be a limited resource for match analysts tasked with analysing the performance of their team and its opponents. Increased availability of data in the field offers possibilities to automate processes to save time. READ MORE