Evaluating partitioning and bucketing strategies for Hive-based Big Data Warehousing systems
Journal of Big Data, 2019 Hive has long been one of the industry-leading systems for Data Warehousing in Big Data contexts, mainly organizing data into databases, tables, partitions and buckets, stored on top of an unstructured distributed file system like HDFS. Some studies were
Eduarda Costa +2 more
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Impact of data warehousing adoption on underwriting and claims performance in Saudi insurance firms [PDF]
Insurance Markets and CompaniesType of the article: Research Article AbstractSaudi insurers increasingly face demands to analyze huge quantities of underwriting and claims data, but disparate systems may decrease the precision of pricing and the speed of claim settlement, thereby ...
Ahmad Harasis
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BioDWH2: an automated graph-based data warehouse and mapping tool
Journal of Integrative Bioinformatics, 2021 Data integration plays a vital role in scientific research. In biomedical research, the OMICS fields have shown the need for larger datasets, like proteomics, pharmacogenomics, and newer fields like foodomics.
Friedrichs Marcel
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A New Big Data Benchmark for OLAP Cube Design Using Data Pre-Aggregation Techniques
Applied Sciences, 2020 In recent years, several new technologies have enabled OLAP processing over Big Data sources. Among these technologies, we highlight those that allow data pre-aggregation because of their demonstrated performance in data querying.
Roberto Tardío +2 more
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Building a Lung and Ovarian Cancer Data Warehouse [PDF]
Healthcare Informatics Research, 2020 Objectives Despite the collection of vast amounts of data by the healthcare sector, effective decision-making in medical practice is still challenging.
Canan Eren Atay, Georgia Garani
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Pervasive Real-Time Analytical Framework—A Case Study on Car Parking Monitoring
Information, 2023 Due to the amount of data emerging, it is necessary to use an online analytical processing (OLAP) framework capable of responding to the needs of industries.
Francisca Barros +3 more
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Analyzing Stock Markets using Data Warehousing
JISR Management and Social Sciences & Economics, 2006 Today, almost all the stock markets disseminate data in real time. Real time data is of great importance to day traders who keep track of each and every price movement.
S. M. Mujtaba, Mohammed Nadeem
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Investigation on Warehouse Management System and its impact on Business Performance in Textile Industry [PDF]
E3S Web of Conferences, 2023 Companies in manufacturing industries manufacture or transform raw resources into finished goods. To meet the demands of production, raw materials purchased from suppliers will be stockpiled.
Dhamodharan S., Padmaavathy P.A.
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Data warehousing in molecular biology [PDF]
Briefings in Bioinformatics, 2000 In the business and healthcare sectors data warehousing has provided effective solutions for information usage and knowledge discovery from databases. However, data warehousing applications in the biological research and development (R&D) sector are lagging far behind.
Christian Schönbach +2 more
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An Overview of Data Warehouse and Data Lake in Modern Enterprise Data Management
Big Data and Cognitive Computing, 2022 Data is the lifeblood of any organization. In today’s world, organizations recognize the vital role of data in modern business intelligence systems for making meaningful decisions and staying competitive in the field. Efficient and optimal data analytics
Athira Nambiar, Divyansh Mundra
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