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Data Integration
In this chapter, we specify the business requirements and propose the solution concept for data integration. For the side-by-side artificial...
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Data integration from traditional to big data: main features and comparisons of ETL approaches
Data integration combines information from different sources to provide a comprehensive view for making informed business decisions. The ETL...
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Data Integration
Data integration deals with the movement and integration of data across processes and information systems. In terms of Chapter 7, it...
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Acoustic data acquisition and integration for semantic organization of sentimental data and analysis in a PWSN
In an acoustic pervasive wireless sensor network (PWSN), the BASE station plays a vital role in gathering and integrating acoustic sensor data from...
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Data Catalogs in the Enterprise: Applications and Integration
Despite investing heavily in data-related technology and human resources, enterprises are still struggling to derive value from data. To foster data...
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Situational Data Integration in Question Answering systems: a survey over two decades
Question Answering (QA) systems provide accurate answers to questions; however, they lack the ability to consolidate data from multiple sources,...
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An Extensible Approach to Searching and Selecting Data Sources for Materialized Big Data Integration in Distributed Computing Environments
AbstractThe work relates to the field of big data integration in distributed computing environments. One of the challenges of data integration is...
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Schema Integration on Massive Data Sources
As the fundamental phrase of collecting and analyzing data, data integration is used in many applications, such as data cleaning, bioinformatics and...
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The integration strategy of information system based on artificial intelligence big data technology in metaverse environment
The concept of the meta-universe is still in its early stages, but many leading tech companies have invested heavily in research and development for...
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Data Integration The Relational Logic Approach
Data integration is a critical problem in our increasingly interconnected but inevitably heterogeneous world. There are numerous data sources...
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Data Integration, Data Export, and Analytics in Dataverse
The main goal of this chapter is to empower readers with the knowledge and skills to master data integration, streamline data export processes, and...
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Data distribution tailoring revisited: cost-efficient integration of representative data
Data scientists often develop data sets for analysis by drawing upon available data sources. A major challenge is ensuring that the data set used for...
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Integration of Synergetic IoT Applications with Heterogeneous Format Data for Interoperability Using IBM ACE
Data interoperability is a crucial requirement in IoT to improve services and enhance business opportunities and innovation. Integrating synergetic...
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Validation Without Rules: A Data Integration Case Study
Data quality assessment is one of the most fundamental operations executed during data integration. Data validity is a collection of validation rules...
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Reversible data hiding in encrypted images using histogram modification and MSBs integration
Through cloud computing development, image encryption is employed to protect content-owner privacy. By the way, the need for embedding secret data in...
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Adaptive integration method of transformer state big data based on deep hash algorithm
To solve the problem of data omission and low storage efficiency of big data, an adaptive integration method of transformer state big data based on...
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Enhancing heart failure diagnosis through multi-modal data integration and deep learning
In the realm of medical data processing, the surge in electronic health records has opened avenues for addressing clinical challenges. Although...
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Big Data Integration
The big data era is upon us: data are being generated, analyzed, and used at an unprecedented scale, and data-driven decision making is sweeping...
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Knowledge Graphs for Data Integration in Retail
Semantic web technologies are widely recognized for their utility in facilitating data integration tasks. While theoretical foundations have been...
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Data Integration for Office Users
Our day-to-day activities generate a ton of data from many types of data sources. For example, when consumers go to an e-commerce platform and buy...