Results 91 to 100 of about 26,115 (280)

Extract transform load (ETL) process in distributed database academic data warehouse

APTIKOM Journal on Computer Science and Information Technologies, 2019
While a data warehouse is designed to support the decision-making function, the most time-consuming partis the Extract Transform Load (ETL) process. Case in Academic Data Warehouse, when data source came from thefaculty’s distributed database, although ...
Ardhian Agung Yulianto
semanticscholar   +1 more source

Feature Selection for Machine Learning‐Driven Accelerated Discovery and Optimization in Emerging Photovoltaics: A Review

Advanced Intelligent Discovery, EarlyView.
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang, Jiayi Tan, Qizhen Song, Tian Du, Jens Hauch, Christoph J. Brabec   +5 more
wiley   +1 more source

Privacy-enhancing ETL-processes for biomedical data

Int. J. Medical Informatics, 2019
BACKGROUND Modern data-driven approaches to medical research require patient-level information at comprehensive depth and breadth. To create the required big datasets, information from disparate sources can be integrated into clinical and translational ...
Fabian Prasser, Helmut Spengler, Raffael Bild, J. Eicher, K. Kuhn   +4 more
semanticscholar   +1 more source

A Review of Transient Characterization Techniques for Quantum Dot Light‐Emitting Diodes

Advanced Physics Research, EarlyView.
This review surveys transient characterization techniques for quantum dot light‐emitting diodes, including TRPL, TREL, TA, and E‐TA. These methods resolve carrier‐selective dynamics across multiple time scales, enabling direct analysis of charge injection, exciton formation and recombination, efficiency roll‐off, and device degradation.
Jaekwon Kim, Yeongmin Moon, Soojeong Yim, Hee Won Son, Hayeon Seo, Jeonghun Kwak   +5 more
wiley   +1 more source

From conceptual design to performance optimization of ETL workflows: current state of research and open problems

The VLDB journal, 2017
In this paper, we discuss the state of the art and current trends in designing and optimizing ETL workflows. We explain the existing techniques for: (1) constructing a conceptual and a logical model of an ETL workflow, (2) its corresponding physical ...
S. Ali, R. Wrembel
semanticscholar   +1 more source

Altered Brain Structure in an ATRX‐Deficient Mouse Model of Autism Spectrum Disorder

Autism Research, EarlyView.
ABSTRACT Mutations in the ATRX gene are a primary cause of alpha‐thalassemia intellectual disability X‐linked (ATRX) syndrome, which is characterized by intellectual disability, autism, and a range of brain structural abnormalities, including microcephaly.
Katherine Quesnel, Jacob Ellegood, Jason P. Lerch, Nathalie G. Bérubé   +3 more
wiley   +1 more source

Progress in all‐dry‐processed inorganic perovskite solar cells

Bulletin of the Korean Chemical Society, EarlyView.
This review summarizes recent advances in all‐inorganic perovskite solar cells, focusing on vacuum‐based deposition strategies for Cs‐based inorganic perovskite absorbers and inorganic charge transporting materials. We highlight the key principles governing inorganic film growth and future directions toward high‐performance all‐dry‐processed inorganic ...
Yo‐Han Jeon, Jae‐Hwan Kim, Jin‐Wook Lee   +2 more
wiley   +1 more source

A targeted antiferromagnetic nanoprobe for ultra‐sensitive magnetic resonance imaging detection of sub‐millimeter esophageal tumors

BMEMat, EarlyView.
We developed a cyclo‐RGD peptide‐conjugated antiferromagnetic nanoparticle (RANP) as a targeted T1 contrast agent. Under 9 T MRI conditions, RANP exhibited an r1 value of 1.88 mM−1 s−1 and a low r2/r1 ratio of 1.84, enabling the detection of esophageal tumors as small as 0.8 mm in vivo. Abstract Early, non‐invasive detection of esophageal cancer at sub‐
Wenkui Mo, Zeyu Liang, Bo Zhang, Lin Xiao, Xun Liu, Zhigao Yi, Shangzhi Xie, Qiyue Wang, Liang Shi, Taobo Luo, Feng Li, Leilei Wu, Yuanzhe Piao, Fangyuan Li, Jian Zeng, Daishun Ling   +15 more
wiley   +1 more source

A Parallel ETL Tool Based on an Improved Chain-MapReduce Framework

Dianxin kexue, 2013
The related work in parallel ETL and common methods to deal with multiple MapReduce jobs were introduced. Then an improved chain-MapReduce framework was presented, based on this framework,a parallel ETL tool was designed.
Bin Wu, Xinguang Liu
doaj   +2 more sources

ETL Auto Reconciliation

Mapana - Journal of Sciences, 2010
Extraction, transformation and Loading (ETL) is the process of storing data into the data warehouse. Errors in the ETL process con result in wrong data being stored. This paper introduces an automated approach to reconcile the source data with data stored in the data warehouse.
Jibrael Jos, Bragadishwaran U.
openaire   +2 more sources