Sökning: "key value store"
Visar resultat 1 - 5 av 63 uppsatser innehållade orden key value store.
1. Leveraging Omnichannel Retailing for Customer Loyalty through Customer Lifetime Value: Is this the reality, or is this just fantasy?
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : Scope: Many physical store-based retail businesses are establishing online stores to provide an omnichannel experience to customers. Omnichannel contributes with an immense supply of data, whereas, the physical store complements this data with its touch and feel aspect, especially for the home and consumer electronics industry. LÄS MER
2. High-Performing Cloud Native SW Using Key-Value Storage or Database for Externalized States
Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : To meet the demands of 5G and what comes after, telecommunications companies will need to replace their old embedded systems with new technology. One such solution could be to develop cloud-native applications that offer many benefits but are less reliable than embedded systems. LÄS MER
3. Analysis of a hybrid PV-CSP plant integration in the electricity market
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : One of the key challenges the world will need to face during the 21st century is global warming and the consequent climate change. Its presence is indisputable, and decarbonizing the gird emerges as one of the required pathways to achieve global sustainable objectives. LÄS MER
4. Highly Available Task Scheduling in Distinctly Branched Directed Acyclic Graphs
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Big data processing frameworks utilizing distributed frameworks to parallelize the computing of datasets have become a staple part of the data engineering and data science pipelines. One of the more known frameworks is Dask, a widely utilized distributed framework used for parallelizing data processing jobs. LÄS MER
5. Online Sample Selection for Resource Constrained Networked Systems
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : As more devices with different service requirements become connected to networked systems, such as Internet of Things (IoT) devices, maintaining quality of service becomes increasingly difficult. Large data sets can be obtained ahead of time in networks to train prediction models offline, however, resulting in high computational costs. LÄS MER