Relevant bibliographies by topics / Snowflake scheme

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Snowflake scheme'

Author: Grafiati
Published: 30 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Snowflake scheme"

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Leinonen, Jussi, and Alexis Berne. "Unsupervised classification of snowflake images using a generative adversarial network and <i>K</i>-medoids classification." Atmospheric Measurement Techniques 13, no. 6 (2020): 2949–64. http://dx.doi.org/10.5194/amt-13-2949-2020.

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Abstract. The increasing availability of sensors imaging cloud and precipitation particles, like the Multi-Angle Snowflake Camera (MASC), has resulted in datasets comprising millions of images of falling snowflakes. Automated classification is required for effective analysis of such large datasets. While supervised classification methods have been developed for this purpose in recent years, their ability to generalize is limited by the representativeness of their labeled training datasets, which are affected by the subjective judgment of the expert and require significant manual effort to deri
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Novreza, Vicky, Yuda Munarko, and Lailatul Husniah. "Data Warehouse Menggunakan Snowflake Schema Pada Virtual Shop." Jurnal Repositor 2, no. 1 (2020): 67. http://dx.doi.org/10.22219/repositor.v2i1.180.

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AbstrakVirtual shop adalah penerapan teknologi virtual realiy pada toko online guna meningkatkan interaksi pembeli. Penerarapan virtual reality pada online shop menimbulkan pertanyaan untuk penyimpanan data serta pengolahan data sebagai analisa kebutuhan. Data pada toko online sebatas pada data transaksional dan tidak dilakukan pengolahan yang lebih untuk dilakukan analisa. Solusi dari permasalahan tersebut dengan melakukan perancangan data warehouse untuk menyiapkan tempat penyimpanan data agar analisa dapat dilakukan guna pengembangan teknologi virtual shop. Sistem pada data warehouse dapat
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Ori, Davide, Leonie von Terzi, Markus Karrer, and Stefan Kneifel. "snowScatt 1.0: consistent model of microphysical and scattering properties of rimed and unrimed snowflakes based on the self-similar Rayleigh–Gans approximation." Geoscientific Model Development 14, no. 3 (2021): 1511–31. http://dx.doi.org/10.5194/gmd-14-1511-2021.

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Abstract. More detailed observational capabilities in the microwave (MW) range and advancements in the details of microphysical schemes for ice and snow demand increasing complexity to be included in scattering databases. The majority of existing databases rely on the discrete dipole approximation (DDA) whose high computational costs limit either the variety of particle types or the range of parameters included, such as frequency, temperature, and particle size. The snowScatt tool is innovative in that it provides consistent microphysical and scattering properties of an ensemble of 50 000 snow
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Wang, Guorong, Yongkang Quan, Kaicheng Yang, and Zhiliang Jin. "EDA-assisted synthesis of multifunctional snowflake-Cu2S/CdZnS S-scheme heterojunction for improved the photocatalytic hydrogen evolution." Journal of Materials Science & Technology 121 (September 2022): 28–39. http://dx.doi.org/10.1016/j.jmst.2021.11.073.

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Yan, Chenlong, Mengyang Xu, Jinze Li, Huiqin Wang, and Pengwei Huo. "Fabricated ZnIn2S4/Cu2S S-scheme heterojunction with snowflake structure for boosting photocatalytic CO2 reduction in gas–solid reactor." Fuel 378 (December 2024): 132921. http://dx.doi.org/10.1016/j.fuel.2024.132921.

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Colli, Matteo, Roy Rasmussen, Julie M. Thériault, Luca G. Lanza, C. Bruce Baker, and John Kochendorfer. "An Improved Trajectory Model to Evaluate the Collection Performance of Snow Gauges." Journal of Applied Meteorology and Climatology 54, no. 8 (2015): 1826–36. http://dx.doi.org/10.1175/jamc-d-15-0035.1.

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AbstractRecent studies have used numerical models to estimate the collection efficiency of solid precipitation gauges when exposed to the wind in both shielded and unshielded configurations. The models used computational fluid dynamics (CFD) simulations of the airflow pattern generated by the aerodynamic response to the gauge–shield geometry. These are used as initial conditions to perform Lagrangian tracking of solid precipitation particles. Validation of the results against field observations yielded similarities in the overall behavior, but the model output only approximately reproduced the
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Karanam, Srinivasa Rao. "Advanced Analytics with Snowflake and Power BI." International Scientific Journal of Engineering and Management 03, no. 09 (2024): 1–7. https://doi.org/10.55041/isjem02074.

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The demand for advanced analytics and near real-time insights has intensified across industries. Organizations are increasingly turning to modern data platforms and powerful business intelligence tools to streamline their analytical processes and drive decision-making. Snowflake has cemented its position as a leading cloud data platform that enables elastic compute scaling, secure data sharing, and powerful governance features. Simultaneously, Microsoft’s Power BI continues to evolve as one of the most widely adopted business intelligence and analytics solutions. The synergy between Snowflake
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CABIBBO, LUCA, and RICCARDO TORLONE. "AN ARCHITECTURE FOR DATA WAREHOUSING SUPPORTING DATA INDEPENDENCE AND INTEROPERABILITY." International Journal of Cooperative Information Systems 10, no. 03 (2001): 377–97. http://dx.doi.org/10.1142/s0218843001000394.

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We report on the design of a novel architecture for data warehousing based on the introduction of an explicit "logical" layer to the traditional data warehousing framework. This layer serves to guarantee a complete independence of OLAP applications from the physical storage structure of the data warehouse and thus allows users and applications to manipulate multidimensional data ignoring implementation details. For example, it makes possible the modification of the data warehouse organization (e.g. MOLAP or ROLAP implementation, star scheme or snowflake scheme structure) without influencing th
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Daza, Alfredo, Daniela Belen Salazar Casas, and Yohan Roy Alarcón Cajas. "Business intelligence for decision-making in the collection area of a municipality." Bulletin of Electrical Engineering and Informatics 13, no. 6 (2024): 4223–35. http://dx.doi.org/10.11591/eei.v13i6.5704.

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The large volume of data in systems in the collection area leads to the lack of adequate management of information, as well as dissatisfaction on the part of the user. The purpose of the study is to implement business intelligence (BI) technology to improve the effectiveness of the information and the satisfaction of the attention of the users of a municipality of Lima in the area of collection; therefore, the phases of the Ralph Kimball method with the following phases: project planning; definition of requirements; design of technological architecture; in the dimensional modeling a snowflake
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Karanam, Srinivasa Rao. "Understanding Snowflake Data Lake." International Scientific Journal of Engineering and Management 03, no. 12 (2024): 1–8. https://doi.org/10.55041/isjem02194.

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Snowflake’s cloud-native design, decoupled storage-compute model, and capacity to handle semi- structured data might suggest a data lake–like architecture, its proprietary formats and higher costs under continuous workloads can hamper its effectiveness for large-scale raw data ingestion. Instead, organizations find it valuable to store the majority of raw or historical data in a dedicated data lake based on object storage (e.g., S3 or ADLS) and then selectively push curated data sets into Snowflake for advanced analytics and concurrency advantages. We examine the evolution of cloud-based data
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Dissertations / Theses on the topic "Snowflake scheme"

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Kudrenko, S., and Y. Pushkin. "Model and scheme for organizing data warehouses." Thesis, National aviation university, 2021. https://er.nau.edu.ua/handle/NAU/50653.

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In traditional architecture, there are three general data warehouse models: virtual warehouse, data mart, and enterprise data warehouse: A virtual datastore is a collection of separate databases that can be shared so that a user can efficiently access all of the data as if it were stored in a single datastore;
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Lundstedt, Mattias, and Axel Norell. "Prototyp för dynamiskt beslutsstöd." Thesis, Linköpings universitet, Interaktiva och kognitiva system, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-108954.

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Företaget Nethouse har haft uppdraget att kravställa, utveckla och implementera ett verksamhetssystem åt Sveriges  Skorstensfejaremästares Riksförbund (SSR). Medlemsföretagen i SSR bedriver sotarverksamhet på uppdrag av Sveriges kommuner och är beroende av insamlad data kopplad till deras verksamhet. I det nyutvecklade systemet, som går under namnet Ritz, samlas informationen i en central databas och är tillgänglig för flertalet intressenter med hjälp av ny teknik och modernare lösningar. Systemet är helt webbaserat och körs som en molntjänst, tillgängligt via antingen en webbsida eller som mo
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Book chapters on the topic "Snowflake scheme"

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Morfonios, Konstantinos, and Yannis Ioannidis. "Snowflake Schema." In Encyclopedia of Database Systems. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4899-7993-3_889-2.

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Morfonios, Konstantinos, and Yannis Ioannidis. "Snowflake Schema." In Encyclopedia of Database Systems. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_889.

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Morfonios, Konstantinos, and Yannis Ioannidis. "Snowflake Schema." In Encyclopedia of Database Systems. Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_889.

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Larson, Jessica Megan. "Schema-Level Privileges." In Snowflake Access Control. Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8038-6_11.

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Iqbal, M. Zafar, Ghulam Mustafa, Nadeem Sarwar, Syed Hamza Wajid, Junaid Nasir, and Shaista Siddque. "A Review of Star Schema and Snowflakes Schema." In Communications in Computer and Information Science. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5232-8_12.

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"Snowflake Join Schema." In Encyclopedia of Database Systems. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_3625.

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Brumen Boštjan and Kovačić Goran. "Modeling of a Data Warehouse Based on ETL Process Performance." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2018. https://doi.org/10.3233/978-1-61499-834-1-35.

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It is very difficult to make a choice between star and snowflake data warehouse schema. The topic is part of the broader dilemma in the data warehousing community: which approach to use, Kimball's or Inmon's. There are advocates for each approach, with fierce &amp;ldquo;war&amp;rdquo; still going on. However, very few empirical studies exist giving either side an advantage; in the past, the approaches were being selected based on the organizational, resource or goal-specific parameters. The goal of this case study was to examine which implementation of data warehouse will yield better results
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Iftikhar Nadeem. "MMDW: A Multi-dimensional and Multi-granular Schema for Data Warehousing." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2012. https://doi.org/10.3233/978-1-61499-105-2-1211.

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With the emergence of modern database technologies, the concept of multi-granular data warehousing, which stores data at multiple levels of granularity has become important. In order to store multigranular data, the existing data warehousing schemas, such as star and snowflake are unable to provide support, for the reason that they are designed to store data at a single level of granularity. In this paper, we present a multi-dimensional and multi-granular data warehousing schema (MMDW). MMDW is based on Relational OLAP (ROLAP) and uses a RDBMS to manage new and old (aggregated) data by means o
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Malinowski, Elzbieta. "Different Kinds of Hierarchies in Multidimensional Models." In Handbook of Research on Innovations in Database Technologies and Applications. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-242-8.ch006.

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In the database design, the advantages of using conceptual models for representing users’ requirements are well known. Nevertheless, even though data warehouses (DWs) are databases that store historical data for analytical purposes, they are usually represented at the logical level using the star and snowflake schemas. These schemas facilitate delivery of data for online analytical processing (OLAP) systems. In particular, hierarchies are important since traversing them, OLAP tools perform automatic aggregations of data using the roll-up and drill-down operations. The former operation transfor
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Liu, Xiufeng, Huan Huo, Nadeem Iftikhar, and Per Sieverts Nielsen. "A Two-Tiered Segmentation Approach for Transaction Data Warehousing." In Emerging Perspectives in Big Data Warehousing. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-5516-2.ch001.

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Data warehousing populates data from different source systems into a central data warehouse (DW) through extraction, transformation, and loading (ETL). Massive transaction data are routinely recorded in a variety of applications such as retail commerce, bank systems, and website management. Transaction data record the timestamp and relevant reference data needed for a particular transaction record. It is a non-trivial task for a standard ETL to process transaction data with dependencies and high velocity. This chapter presents a two-tiered segmentation approach for transaction data warehousing
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Conference papers on the topic "Snowflake scheme"

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Dahlan, Akhmad, and Ferry Wahyu Wibowo. "Design of Library Data Warehouse Using SnowFlake Scheme Method: Case Study: Library Database of Campus XYZ." In 2016 7th International Conference on Intelligent Systems, Modelling and Simulation (ISMS). IEEE, 2016. http://dx.doi.org/10.1109/isms.2016.71.

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Saginbekov, Sain, and Dossay Oryspayev. "Snowflake: An Adaptive Energy and Delay Efficient Scheme for Source Location Privacy in Wireless Sensor Networks." In 11th International Conference on Sensor Networks. SCITEPRESS - Science and Technology Publications, 2022. http://dx.doi.org/10.5220/0011014400003118.

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"SCHEMA EVOLUTION FOR STARS AND SNOWFLAKES." In 6th International Conference on Enterprise Information Systems. SciTePress - Science and and Technology Publications, 2004. http://dx.doi.org/10.5220/0002619704250433.

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Li, Y., and A. An. "Representing UML snowflake diagram from integrating XML data using XML schema." In International Workshop on Data Engineering Issues in E-Commerce. IEEE, 2005. http://dx.doi.org/10.1109/deec.2005.21.

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Al-Zuhairi, Yaqoob, Ammar A. Al-Hamadani, and Talib M. J. Abbas. "Implementation of Data Warehouse With Snowflake Schema in Electric Vehicles Realm." In 2024 16th International Conference on Electronics, Computers and Artificial Intelligence (ECAI). IEEE, 2024. http://dx.doi.org/10.1109/ecai61503.2024.10607536.

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Fu, Sicheng, Steven T. Parker, and Andrea Bill. "Snowflake Schema-Based Data Warehouse for Analyzing Crash, Citation, and Warning Traffic Safety Records." In International Conference on Transportation and Development 2023. American Society of Civil Engineers, 2023. http://dx.doi.org/10.1061/9780784484876.006.

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