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Journal articles on the topic 'Open-source ETL'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Gill, Rupali, and Jaiteg Singh. "An Open Source ETL Tool - Medium and Small Scale Enterprise ETL(MaSSEETL)." International Journal of Computer Applications 108, no. 4 (2014): 15–22. http://dx.doi.org/10.5120/18899-0190.

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Ravi, Shankar Koppula. "Comparative Analysis of ETL Tools: Talend, Informatica, and more." Journal of Scientific and Engineering Research 8, no. 5 (2021): 176–82. https://doi.org/10.5281/zenodo.13757331.

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The rapid growth of data across various industries necessitates efficient and effective methods for Extract, Transform, and Load (ETL) processes. This paper provides a comprehensive comparative analysis of several prominent ETL tools, evaluating their performance, scalability, ease of use, and cost-effectiveness. By examining both open-source and commercial solutions, this study aims to identify the strengths and weaknesses of each tool in different data integration scenarios. Key criteria such as data transformation capabilities, support for diverse data sources, integration with big data tec

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Starkov, V. V., S. S. Gorbatova, and V. I. Vodolaga. "Development of an ETL Process Based on Open Source Technologies to Solve the Problem of Data Delivery to Consumers." Моделирование и анализ данных 13, no. 2 (2023): 180–93. http://dx.doi.org/10.17759/mda.2023130210.

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<p>The article discusses the issues of developing an ETL process for a data warehouse based on open source technologies, instead of private software supplied by the vendor. The process allows you to deliver data from the source to the consumer, focusing on the speed of delivery, the resources spent and the convenience of development. The architecture for solving the problem with a description of the processes being replaced is presented, data transmission over a new process is implemented. Modern tools used to work with data are involved, methods of interaction with them and selection of

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Cheruku, Saketh Reddy, Om Goel, and Shalu Jain. "A Comparative Study of ETL Tools: DataStage vs. Talend." Journal of Quantum Science and Technology 1, no. 1 (2024): 80–90. http://dx.doi.org/10.36676/jqst.v1.i1.11.

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ETL tools are essential for handling and manipulating massive amounts of data in data integration and processing. IBM DataStage and Talend are two popular ETL technologies. This article compares their features, performance, usability, and efficacy in various data processing settings. This research provides a complete review to help firms choose the best ETL technology for their requirements and operations.IBM Information Server's DataStage is known for its reliability and scalability. For effective processing of massive datasets, it enables complicated data integration techniques and parallel

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Wojciechowski, Artur. "E-ETL: Framework for Managing Evolving ETL Workflows." Foundations of Computing and Decision Sciences 38, no. 2 (2013): 131–42. http://dx.doi.org/10.2478/fcds-2013-0005.

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AbstractData warehouses integrate external data sources (EDSs), which very often change their data structures (schemas). In many cases, such changes cause an erroneous execution of an already deployed ETL workow. Structural changes of EDSs are frequent, therefore an automatic reparation of an ETL workow, after such changes, is of a high importance. This paper presents a framework, called E-ETL, for handling the evolution of an ETL layer. Detection of changes in EDSs causes a repa- ration of the fragment of ETL workow which interacts with the changed EDSs. The proposed framework was developed a

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Faraj, Kamaran H. A., Asan B. Kanbar, Jaza Gul-Mohammed, Wafaa M. Hmeed, and Shagul F. Karim. "Cloud Computing Loading Time Over Different Operating Systems." Science Journal of University of Zakho 8, no. 4 (2020): 154–59. http://dx.doi.org/10.25271/sjuoz.2020.8.4.756.

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Since the traditional time loading (TTL) very primitive before the era of information communication technology (ICT) and it was really not depended on the result of time-loading due to the old version of computer architecture (i.e. serial processing). Nevertheless, the parallel processing systems open a wide area of researching for electronic time loading (ETL) over different operating systems by programing languages (i.e. python or private home page (Php)). The electronic time loading (ETL) for cloud Computing (CC) is a hot experimental topic. ETL for CC is not only one parameter (i.e. a web

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Admin, Admin. "A Extract, Transform, Load sebagai upaya Pembangunan Data Warehouse." Journal of Informatics and Communication Technology (JICT) 1, no. 1 (2019): 11–20. http://dx.doi.org/10.52661/j_ict.v1i1.11.

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Paper ini dibuat untuk memberikan gambaran secara general dalam proses transformasi Ekstract, Transform, dan Load (ETL) sebagai data masukan untuk multidimensional modeling data mart dan data warehouse. Artikel ini dibuat dengan mengimplementasikan database dari Online Transaction Processing (OLTP) kedalam database Online Analytical processing (OLAP). Pada penelitian ini digunakan database classicmodels yang bersifat open source dari Mysql.Metode yang dilakukan dalam penelitian ini adalah, dengan melakukan proses Extract, Transform danLoad (ETL) pada data classic models yang dilakukan dengan c

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Iskandar, Ade Rahmat, Apri Junaidi, and Asep Herman. "Extract, Transform, Load sebagai upaya Pembangunan Data Warehouse." Journal of Informatics and Communication Technology (JICT) 1, no. 1 (2019): 25–35. http://dx.doi.org/10.52661/j_ict.v1i1.21.

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Paper ini dibuat untuk memberikan gambaran secara general dalam proses transformasi Ekstract, Transform, dan Load (ETL) sebagai data masukan untuk multidimensional modeling data mart dan data warehouse. Artikel ini dibuat dengan mengimplementasikan database dari Online Transaction Processing (OLTP) kedalam database Online Analytical processing (OLAP). Pada penelitian ini digunakan database classicmodels yang bersifat open source dari Mysql.Metode yang dilakukan dalam penelitian ini adalah, dengan melakukan proses Extract, Transform danLoad (ETL) pada data classic models yang dilakukan dengan c

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Ravi Kiran Pagidi, Raja Kumar Kolli, Chandrasekhara Mokkapati, Om Goel, Dr. Shakeb Khan, and Prof.(Dr.) Arpit Jain. "Enhancing ETL Performance Using Delta Lake in Data Analytics Solutions." Universal Research Reports 9, no. 4 (2022): 473–95. http://dx.doi.org/10.36676/urr.v9.i4.1381.

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In the rapidly evolving field of data analytics, the performance of Extract, Transform, Load (ETL) processes is crucial for effective data management and insight generation. This study explores the integration of Delta Lake within ETL frameworks to enhance performance and reliability. Delta Lake, an open-source storage layer, facilitates ACID transactions, scalable metadata handling, and unifies batch and streaming data processing, addressing common challenges associated with traditional ETL processes. By leveraging Delta Lake’s capabilities, organizations can optimize data ingestion and trans

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Zhiyenbayev, M. M., A. G. Ospan, and M. E. Mansurova. "ETL process for water resources and demographics data: an open source data processing tools and visualizations." Bulletin of the National Engineering Academy of the Republic of Kazakhstan 88, no. 2 (2023): 38–48. http://dx.doi.org/10.47533/2023.1606-146x.4.

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Open data portals have become increasingly popular in recent years as more and more governments, organizations, and businesses recognize the benefits of making data publicly available for researchers, analysts and decision-making platforms. Many governments have launched their portal at the national, regional, and local levels. In addition to traditional government datasets such as demographics, finance, and transportation, open data portals are increasingly providing access to a broader range of data types, including environmental data, health data, and social media data. Many open data porta

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Mantri, Arjun. "Advanced ML (Machine Learning) Techniques for Optimizing ETL Workflows with Apache Spark and Snowflake." Journal of Artificial Intelligence & Cloud Computing 2, no. 3 (2023): 1–6. http://dx.doi.org/10.47363/jaicc/2023(2)339.

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The optimization of ETL (Extract, Transform, Load) pipelines using Apache Spark and Snowflake. Apache Spark is a powerful open-source distributed data processing platform, while Snowflake is a cloud-native data warehousing solution. It discusses the challenges and solutions in tuning Spark configurations using machine learning techniques and optimizing Snowflake's architecture for cost efficiency and performance. Experimental results demonstrate significant performance gains and cost savings through these optimizations.

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Zein, Walid, Tarek I. Alanazi, Mostafa M. Salah, and Ahmed Saeed. "Concurrent Design of Alloy Compositions of CZTSSe and CdZnS Using SCAPS Simulation: Potential Routes to Overcoming VOC Deficit." Energies 16, no. 15 (2023): 5754. http://dx.doi.org/10.3390/en16155754.

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Solar energy is the most used renewable energy source. CZTSSe uses earth-abundant elements and has promising optoelectronic properties, resulting in becoming a viable alternative to thin film PV. This work provides design guidelines for CZTSSe-based solar cells, where CZTSSe has a tunable affinity and energy gap. The analysis is based on incorporating a ternary compound material to serve as an electron transport material (ETM). In this regard, CdZnS is a potential candidate that can be utilized as an electron transport layer whose affinity and energy gap can be tuned to adjust the band alignme

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Deepak, K., G. Sharath Chandra Reddy, and Chandni Tiwari. "Performance Analysis of SnO₂/CsSnGeI₃/CuSCN perovskite solar cells using SCAPS 1D Simulator." Journal of Physics: Conference Series 2571, no. 1 (2023): 012023. http://dx.doi.org/10.1088/1742-6596/2571/1/012023.

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Abstract In this paper, we have used Cesium tin-germanium triiodide (CsSnGeI3) perovskite-based solar cells (PSC). Here, SnO2 and CuSCN have been used as electron transport and hole transport layers, respectively. We have optimized the performance parameters of this device using an open-source software known as Solar cell capacitance simulator (SCAPS–1D). We have varied the thickness of absorber layer to understand its impact on the efficiency of the proposed solar cell. We have also varied the interface defects and defect density of absorber layer to optimize the performance of this device. F

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Anwar, Ali Sathio. "Implementation of Etl Tool for Data Warehousing for Non-Hodgkin Lymphoma (Nhl) Cancer in Public Sector, Pakistan." LC International Journal of STEM (ISSN: 2708-7123) 2, no. 3 (2021): 98–102. https://doi.org/10.5281/zenodo.5759519.

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The study was primarily undertaken to establish the conceptual modeling and implementation of Data Warehousing tools through existing demographic and clinicopathologic features of NHL in Pakistan. A secondary aim was to determine the applicability of the Data warehousing in the cancer domain of Lymphoma disease. In this study, we have implemented ETL tools using open source tools and technologies for making Data warehousing and it’s easy to implement with low cast in the department of health for public sector hospitals in the country.

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Arul, Kishore. "Optimizing Data Pipelines in Cloud-based Big Data Ecosystems: A Comparative Study of Modern ETL Tools." International Journal of Engineering and Computer Science 10, no. 4 (2021): 25321–43. https://doi.org/10.18535/ijecs.v10i4.4598.

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The proliferation of big data and the widespread adoption of cloud computing have significantly transformed how organizations handle data ingestion, transformation, and analysis. In this evolving digital landscape, the optimization of data pipelines has become a cornerstone of operational efficiency and strategic decision-making. At the heart of this process lies the Extract, Transform, Load (ETL) mechanism, which plays a critical role in ensuring that data is processed and made analytics-ready in a timely, scalable, and cost-effective manner. This paper conducts an in-depth comparative study

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Isoviita, Veli-Matti, Liina Salminen, Jimmy Azar, et al. "Open Source Infrastructure for Health Care Data Integration and Machine Learning Analyses." JCO Clinical Cancer Informatics, no. 3 (December 2019): 1–16. http://dx.doi.org/10.1200/cci.18.00132.

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PURPOSE We have created a cloud-based machine learning system (CLOBNET) that is an open-source, lean infrastructure for electronic health record (EHR) data integration and is capable of extract, transform, and load (ETL) processing. CLOBNET enables comprehensive analysis and visualization of structured EHR data. We demonstrate the utility of CLOBNET by predicting primary therapy outcomes of patients with high-grade serous ovarian cancer (HGSOC) on the basis of EHR data. MATERIALS AND METHODS CLOBNET is built using open-source software to make data preprocessing, analysis, and model training us

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Wang, Zhongyu, Liangsheng Hao, Zhihai Cheng, et al. "Lead-Tin Laminated All-Perovskite Solar Cells: Verification of Feasibility from the Perspective of Device Simulation." ECS Journal of Solid State Science and Technology 11, no. 6 (2022): 063011. http://dx.doi.org/10.1149/2162-8777/ac760b.

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Although conventional lead-based perovskite solar cells have good power conversion efficiency, their toxic drawbacks seriously affect the environment and commercialization. This work introduces lead-tin laminated all-perovskite solar cells, and the addition of a tin-based perovskite layer can reduce this, while effectively compensating for the absorption of light in different wavelength ranges by the lead-based perovskite layer. The SACPS-1D (Solar Cell Capacitance Simulator) was used to study the intrinsic factors affecting each performance parameter of the device and optimize the parameters

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Lakshmi Srinivasarao Kothamasu. "Python-driven universal data load connector: A framework for efficient cross-environment data integration." Global Journal of Engineering and Technology Advances 23, no. 2 (2025): 141–52. https://doi.org/10.30574/gjeta.2025.23.2.0157.

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This article presents a comprehensive framework for a Python-driven Universal Data Load Connector (UDLC) designed to address the growing complexity of data integration in modern enterprises. The proposed solution offers a consistent API across diverse source and destination systems, enabling seamless data movement between legacy infrastructure, cloud platforms, and edge devices. The article discusses the architectural principles underpinning the approach, including modular design, extensible connector interfaces, and robust error handling mechanisms. The framework enables organizations to over

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Tomov, Rade, and Mariya Aleksandrova. "Study of Lead-Free Perovskite Photoelectric Devices with TiO2 as a Buffer Layer." Sustainability 14, no. 16 (2022): 10043. http://dx.doi.org/10.3390/su141610043.

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In this work, a titanium oxide buffer layer was explored as a possible buffer electron transporting layer (ETL) with iodine-tin-based perovskite material for enhancement of a thin-film lead-free perovskite solar cell. The open-circuit voltage of the device was used as an indicator for the interface energy barrier’s change with the thickness of the TiO2. The buffer and photoabsorbing layers were deposited by vacuum reactive sputtering and a low-temperature ion-assisted process from a confocal sintered source, respectively, allowing precise tuning of the film properties and reproducibility of th

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Mukesh, Kumar Saini, and Saini Arun. "Optimizing Data Engineering Through a Comprehensive Exploration of Modern Pipeline Tools." Journal of Emerging Technologies and Innovative Research 7, no. 2 (2020): 925–36. https://doi.org/10.5281/zenodo.14190243.

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   There are currently many pipeline tools available for data engineering, which data scientists use to tackle data wrangling issues and perform tasks ranging from data ingestion and preparation to its use as input for machine learning (ML). These tools either come with essential built-in components or can be integrated with others to achieve the desired data engineering outcomes. While some of these tools are fully or partially commercial, there is also a range of open-source options capable of handling expert-level data engineering tasks. This survey explores various categories and

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Toto Pratomo, Leonardus Adityo, and Deni Mahdiana. "Extract, Transform, Load Monitoring sales Multi Marketplace." Jurnal Teknologi Informasi dan Pendidikan 16, no. 1 (2023): 174–88. http://dx.doi.org/10.24036/jtip.v16i1.721.

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This research is made in the design of a database system and online sales files for sales on a medium business scale, Era 5.0 Society many marketplaces make it easy for medium businesses to sell products, So business actors need to see the development of digital business and forecast their merchandise that is sold out online. As for the implementation of 1) database from RDBMS into MYSQL. The research uses an open source database, namely MYSQL, 2) The research method uses Microsoft Access program tools with the link to the Windows 10 operating system odbc in Extract Transform Load (ETL) which

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Yin, Yiyi, Yong Zhang, Zhengzheng Wei, and Xiang Zhao. "Study on real-time prediction model of railway passenger flow based on big data technology." MATEC Web of Conferences 355 (2022): 02025. http://dx.doi.org/10.1051/matecconf/202235502025.

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In order to solve the limitation of traditional offline forecasting application scenarios, the author uses a variety of big data open source frameworks and tools to combine with railway real-time data, and proposes a real-time prediction model of railway passenger flow. The model architecture is divided into four levels from bottom to top: data source layer, data transmission layer, prediction calculation layer and application layer. The main components of the model are data flow and prediction flow. Through message queue and ETL, the data process part realizes the synchronization of offline d

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Saketh Reddy Cheruku, Dr. Shakeb Khan, and Er. Om Goel. "Effective Data Migration Strategies Using Talend and DataStage." Universal Research Reports 11, no. 1 (2024): 192–207. http://dx.doi.org/10.36676/urr.v11.i1.1335.

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Modern company operations need reliable data migration across systems to preserve continuity, performance, and business process integrity. Data transfer techniques need careful preparation, powerful tools, and system knowledge. Talend and IBM DataStage, two renowned data integration and migration systems, are used in this study to implement successful data transfer techniques. Talend and DataStage provide ETL, data quality management, and real-time integration services for data migration. Talend, an open-source platform, supports several data sources and formats with flexibility, scalability,

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Garneau, William, Benjamin Martin, Kelly Gebo, et al. "76 Lessons learned during implementation of OMOP common data model across multiple health systems." Journal of Clinical and Translational Science 8, s1 (2024): 20. http://dx.doi.org/10.1017/cts.2024.77.

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OBJECTIVES/GOALS: Adoption of the Observational Medical Outcomes Partnership (OMOP) common data model promises to transform large-scale observational health research. However, there are diverse challenges for operationalizing OMOP in terms of interoperability and technical skills among coordinating centers throughout the US. METHODS/STUDY POPULATION: A team from the Critical Path Institute (C-Path) collaborated with the informatics team members at Johns Hopkins to provide technical support to participating sites as part of the Extract, Transform, and Load (ETL) process linking existing concept

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Arjun, Mantri. "Intelligent Automation of ETL Processes for LLM Deployment: A Comparative Study of Dataverse and TPOT." European Journal of Advances in Engineering and Technology 11, no. 4 (2024): 154–58. https://doi.org/10.5281/zenodo.12755714.

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This paper presents Dataverse, a unified open-source Extract-Transform-Load (ETL) pipeline designed for large language models (LLMs). Additionally, it compares Dataverse with TPOT (Tree-based Pipeline Optimization Tool), an automated machine learning (AutoML) tool, to highlight their respective strengths and use cases. Dataverse aims to address the challenges associated with data processing at scale by providing a user-friendly and automated solution. TPOT, on the other hand, focuses on automating the machine learning pipeline optimization process. This paper discusses the architecture, featur

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Sun, Yutian, Tim Meehan, Rebecca Schlussel, et al. "Presto: A Decade of SQL Analytics at Meta." Proceedings of the ACM on Management of Data 1, no. 2 (2023): 1–25. http://dx.doi.org/10.1145/3589769.

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Presto is an open-source distributed SQL query engine that supports analytics workloads involving multiple exabyte-scale data sources. Presto is used for low-latency interactive use cases as well as long-running ETL jobs at Meta. It was originally launched at Meta in 2013 and donated to the Linux Foundation in 2019. Over the last ten years, upholding query latency and scalability with the hyper growth of data volume at Meta as well as new SQL analytics requirements have raised impressive challenges for Presto. A top priority has been ensuring query reliability does not regress with the shift t

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Shashank Rudra. "Breaking into Data Engineering: A Guide for Consumer-Focused Technologists." Journal of Computer Science and Technology Studies 7, no. 5 (2025): 334–42. https://doi.org/10.32996/jcsts.2025.7.5.41.

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The digital transformation of consumer experiences has created unprecedented volumes of customer data flowing through modern enterprises. This catalyzes demand for specialized data engineers who understand technical architectures and consumer data applications. This article is a comprehensive career guide for professionals seeking to enter data engineering with a consumer-centric focus. It outlines the core technical competencies required, including SQL proficiency, Python programming, cloud data warehouse experience, and ETL/ELT workflows, while emphasizing the importance of version control a

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Hasan, Firman Noor, and I. Ketut Sudaryana. "Penerapan Business Intelligence & Online Analytical Processing untuk Data-Data Penelitian dan Luarannya pada Perguruan Tinggi Menggunakan Pentaho." Infotech: Journal of Technology Information 8, no. 2 (2022): 85–92. http://dx.doi.org/10.37365/jti.v8i2.143.

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Utilization of ICT in various sectors is needed, especially those related to business impact and strategy. Information technology is the backbone of the sustainability of businesses, companies, and organizations. Companies that are able to utilize ICT well, therefore indirectly adapt to the times and strive to excel from competitors. The method used refers to the steps recommended by Carlo Vercellis. The software and tools used are open source based, such as Pentaho Data Integration for processing extract, transform, load (ETL), Pentaho Community Edition for dashboards, Pentaho Report Designer

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Claudio Isaias Huancahuire Bravo, Abbon Alex Vasquez Ramirez, and Javier Rozas Huacho. "ESTIMACIÓN DEL RENDIMIENTO DE ARQUITECTURA HOMOGÉNEA Y/O HETEROGÉNEA PARA BIG DATA." Hatun Yachay Wasi 2, no. 1 (2023): 98–108. http://dx.doi.org/10.57107/hyw.v2i1.39.

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La cuarta revolución industrial interactúa con otras vertientes como Cloud Computing, Internet de las Cosas, Ciencia de Datos, Ingeniero de datos, Inteligencia Artificial con Machine Learning. Porque cada vez es más inevitable, no transformar los datos del mundo real en datos digitales como: Textos, audio, imágenes, videos, etc, para su tratamiento y una óptima toma de decisión, en el contexto que se requiera. En consecuencia, de las tecnologías mencionadas deviene el término de Big Data, que subyace con términos estructurados, semi estructurados y no estructurados y todo ello tiene que ser pr

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Kaswandi, Adi, and Raditya Danar Dana. "VISUALISASI DATA PRODUKSI PERTANIAN MELALUI PENERAPAN MEDIA INTERAKTIF MENGGUNAKAN TABLEAU." JATI (Jurnal Mahasiswa Teknik Informatika) 8, no. 1 (2024): 1070–76. http://dx.doi.org/10.36040/jati.v8i1.8927.

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Ketersediaan pangan adalah hal yang sangat penting bagi masyarakat sekitar terutama di Kabupaten Majalengka. Berdasarkan data Open Data Kabupaten Majalengka tahun 2018 sampai dengan tahun 2022, produksi sektor pertanian di beberapa wilayah mengalami penurunan. Faktor yang mempengaruhi penurunan produksi adalah banyaknya proses alih fungsi lahan. Akan tetapi, untuk mengetahui pola produksi pertanian di Kabupaten Majalengka secara mendalam perlu adanya sebuah rancangan informasi yang ringkas dan mudah dipahami. Penelitian ini menerapkan metode ETL (Extract, Transform, Load). Extract merupakan ta

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Enriquez Herrera, Jhony Vicente, and Denis Oscar Peregueza Yapud. "Solución de software para micromercados inteligentes con analítica de datos." Visión Empresarial, no. 14 (December 24, 2024): 67–82. https://doi.org/10.32645/13906852.1321.

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This research aims to propose a software solution with data analytics through intelligent dashboards applied to micro-markets. The research approach is mixed: descriptive and field-based. Interviews were applied to owners of micro-markets in the Tulcán city to analyze their current business management systems and the use or not of emerging technologies such as Big Data, Business Intelligence, Cloud Computing, IoT, among others. Surveys were also applied to customers who use these services to determine user satisfaction. The results showed that 50% of micro-market owners lack systems to support

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Utama, Putu Handre Kertha, Irsyad Nashirul Haq, Edi Leksono, Muhammad Iqbal Juristian, Ghulam Azka Alim, and Justin Pradipta. "Development of Digital Twin Platform for Electric Vehicle Battery System." International Journal of Sustainable Transportation Technology 6, no. 1 (2023): 7–11. http://dx.doi.org/10.31427/ijstt.2023.6.1.2.

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The battery system in electric vehicles needs proper monitoring and control to ensure reliable, efficient, and safe operation. Recent advancement in cyber-physical technology has brought the emerging digital twin concept. This concept opens a new possibility of real-time condition monitoring and fault diagnosis of the battery system. Although it sounds promising, the concept implementation still faces many challenges. One of the challenges is the availability of a platform to develop digital twins, which involves data pipelines and modeling tools. The data pipeline will include the acquisition

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Chikhalkar, Akshay, Marc Brünninghaus, Sahar Deppe, Eckard Bicker, and Carsten Röcker. "A Data Pipeline Concept for Digitizing Services in Small and Medium-Sized Companies." JOIV : International Journal on Informatics Visualization 9, no. 1 (2025): 333. https://doi.org/10.62527/joiv.9.1.3796.

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Small and medium-sized enterprises face significant challenges in their digital transformation due to their limited resources compared to larger companies. In order to overcome these issues, this study proposes the idea of a data pipeline that is affordable and accessible for small and medium-sized enterprises. The suggested method conceptualizes an Extract, Transform and Load (ETL) procedure, which is a go-to approach for data engineering using open-source technologies. A case study of a mobile assistance system is used to illustrate this data flow and emphasizes its numerous advantages and p

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den Duijn, X., G. Agugiaro, and S. Zlatanova. "MODELLING BELOW- AND ABOVE-GROUND UTILITY NETWORK FEATURES WITH THE CITYGML UTILITY NETWORK ADE: EXPERIENCES FROM ROTTERDAM." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4/W7 (September 20, 2018): 43–50. http://dx.doi.org/10.5194/isprs-annals-iv-4-w7-43-2018.

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<p><strong>Abstract.</strong> Precise and comprehensive knowledge about 3D urban space is required for simulation and analysis in the fields of urban and environmental planning, city administration and disaster management. In order to facilitate these applications, geo-information about functional, semantic, and topographic aspects of urban features, their mutual dependencies and relations is needed. Substantial work has been done in the modelling and representation of above-ground features in the context of 3D city modelling. However, the belowground part of the real world,

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Azzolini, Raphael Porreca, Andressa Cristiani Piconi, and Cassia de Paula Moreira Coghi. "O uso da ferramenta pentaho data integration na migração de dados para implantação do SIGAD/UNICAMP." Sínteses: Revista Eletrônica do SIMTEC, no. 6 (October 27, 2016): 24. http://dx.doi.org/10.20396/sinteses.v0i6.8154.

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Em 2015, no processo de implantação do novo sistema para gestão dos processos/dossiês produzidos pela Universidade, o Sistema de Gestão Arquivística de Documentos (SIGAD/Unicamp), foi necessário migrar dados do antigo Sistema de Protocolo, em uso desde 1993. Para isso, foi elaborado um projeto utilizando o Pentaho Data Integration, ferramenta open source de ETL (Extract Transform Load) para extração, transformação e carregamento de dados. Devido ao grande volume de dados do sistema legado, foram desenvolvidas 71 transformações para migração gradual e parcial dos dados. Após modelagem das trans

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Asto Huamán, Leonidas. "INTELIGENCIA DE NEGOCIOS EN LA GESTIÓN ACADÉMICA DE LA EDUCACIÓN SUPERIOR UNIVERSITARIA." Revista de Investigaciones 7, no. 2 (2018): 526–36. http://dx.doi.org/10.26788/riepg.v7i2.240.

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El objetivo de esta investigación es determinar el impacto que genera el uso de un Datamart en la gestión académica en la educación superior. La gestión académica y el apoyo de un Datamart debe determinar el alto grado de confiabilidad a nivel de toma de decisiones por parte de los gestores del negocio.El método principal para la Inteligencia de Negocios aplicado en esta investigación es la Metodología de Ralph Kimball generando el almacén de datos denominado “Datamart” que ha sido construida hasta la fase 6 de 12, asimismo, por la complejidad del origen de los datos se ha usado el esquema de

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Akanbi, Adeyinka, and Muthoni Masinde. "A Distributed Stream Processing Middleware Framework for Real-Time Analysis of Heterogeneous Data on Big Data Platform: Case of Environmental Monitoring." Sensors 20, no. 11 (2020): 3166. http://dx.doi.org/10.3390/s20113166.

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In recent years, the application and wide adoption of Internet of Things (IoT)-based technologies have increased the proliferation of monitoring systems, which has consequently exponentially increased the amounts of heterogeneous data generated. Processing and analysing the massive amount of data produced is cumbersome and gradually moving from classical ‘batch’ processing—extract, transform, load (ETL) technique to real-time processing. For instance, in environmental monitoring and management domain, time-series data and historical dataset are crucial for prediction models. However, the envir

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Azdmi, Maulycya Sierly Ullul. "Teachers’ Strategies to Enhancing Reading Skill as The Base Components for Multilingual Invants in The Classroom." Proceeding of International Conference on Islamic Education (ICIED) 9, no. 1 (2024): 89. https://doi.org/10.18860/icied.v9i1.3127.

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English has the prominent role in the society. As taught in recent cases the language implied their characteristics in any evidences. Moreover, English for Foreign Learner (EFL) have adapted to learn and produce something available for the future. This research have presented along the community where the writer intended for study. Applied linguistics were exporting in English Second Language (ESL) which determining the application of Technological Pedagogical Content Knowledge (TPACK). The paper is using multilingualism and English Language Teaching (ELT) as the study objects through Target T

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Shruthi S and Aravind BR. "Open-Source Tools in ESL Learning: A Quantitative Study." International Research Journal of Multidisciplinary Scope 05, no. 02 (2024): 762–77. http://dx.doi.org/10.47857/irjms.2024.v05i02.0636.

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This research paper delves into the utilization of open-source tool, specifically LearningApps.org, with the purpose of improving the teaching of tenses to students who are learning English as a Second Language (ESL). The purpose of this study is to investigate the influence that LearningApps.org has on the level of interest and participation that students have in the process of learning the past tense (PT) and future tense (FT) of the English language. We used a quantitative technique, and we had 94 English as a Second Language (ESL) students between the ages of 17 and 20 who were fluent in t

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Mr., P. C. Kumbhar Dr. P. B. Ghante. "OPEN SOURCE SOFTWARE FOR LIBRARY MANAGEMENT : AN OVERVIEW." International Journal of Advance and Applied Research 2, no. 17 (2022): 43–47. https://doi.org/10.5281/zenodo.7052717.

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<strong><em>Abstract:</em></strong> <em>In today’s modern age. it has became very difficult to get an accurate library material in shortest period of time. But in the age of computerization the use of software in the library has increase, which has led to accuracy and speed in the work. But it is difficult for private libraries because of financial trouble. This research paper is designed for open source selection. There is a  lots of software in the market but this research paper discusses exact software that is perfect for your library.</em>

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Batjes, Niels H., Luis Calisto, and Luis M. de Sousa. "Providing quality-assessed and standardised soil data to support global mapping and modelling (WoSIS snapshot 2023)." Earth System Science Data 16, no. 10 (2024): 4735–65. http://dx.doi.org/10.5194/essd-16-4735-2024.

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Abstract. Snapshots derived from the World Soil Information Service (WoSIS) are served freely to the international community. These static datasets provide quality-assessed and standardised soil profile data that can be used to support digital soil mapping and environmental applications at broad scale levels. Since the release of the preceding snapshot in 2019, refactored ETL (extract, transform and load) procedures for screening, ingesting and standardising disparate source data have been developed. In conjunction with this, the WoSIS data model was overhauled, making it compatible with the I

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Shruthi, Subramanian, and Banumathi Rajamanickam Aravind. "Investigating English as a Second Language (ESL) Learners’ Writing Skills through Open-source Software: A Case Study." Acta Pedagogia Asiana 3, no. 1 (2024): 44–54. http://dx.doi.org/10.53623/apga.v3i1.376.

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The purpose of this study was to investigate the feedback of English as a Second Language (ESL) learners on their writing skills, with a focus on exploring ESL students' progress in writing skills based on tenses through open-source software. The software is employed to assess each student's improvement. This research follows a qualitative method, and data were collected through semi-structured interviews and the think-aloud protocol. The results are categorized into four main areas: (a) Feedback provided by students; (b) Students' perception of tenses and writing skills; (c) Students' views o

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Refai, Refai. "USING AUTHENTIC LISTENING MATERIALS IN EFL CLASSROOM: STUDENTS’ PERCEPTIONS IN INDONESIAN CONTEXT." Premise: Journal of English Education 7, no. 1 (2018): 22. http://dx.doi.org/10.24127/pj.v7i1.1291.

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Instructing listening comprehension to EFL students need good plannings. Authentic listening materials as a strategic teaching media are best utilized by English instructors to facilitate the EFL students’ listening comprehension in classrooms and language laboratory. Applying authentic listening materials as teaching media in listening practice activites are challenged to bridge EFL students and not only enhancing their listening skill but also improving and developing their knowledge of the real life, culture, and social affairs of English native speakers.The source of authentic listening ma

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Bellido-Jiménez, Juan Antonio, Javier Estévez, Joaquin Vanschoren, and Amanda Penélope García-Marín. "AgroML: An Open-Source Repository to Forecast Reference Evapotranspiration in Different Geo-Climatic Conditions Using Machine Learning and Transformer-Based Models." Agronomy 12, no. 3 (2022): 656. http://dx.doi.org/10.3390/agronomy12030656.

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Accurately forecasting reference evapotranspiration (ET0) values is crucial to improve crop irrigation scheduling, allowing anticipated planning decisions and optimized water resource management and agricultural production. In this work, a recent state-of-the-art architecture has been adapted and deployed for multivariate input time series forecasting (transformers) using past values of ET0 and temperature-based parameters (28 input configurations) to forecast daily ET0 up to a week (1 to 7 days). Additionally, it has been compared to standard machine learning models such as multilayer percept

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Enow, Ojong Felix, Andrew Tochukwu Ofoedu, Ebimor Yinka Gbabo, and Possible Emeka Chima. "Advances in Real-Time Data Ingestion Strategies Using Fivetran, Rudderstack, and Open-Source ELT Tools." Journal of Frontiers in Multidisciplinary Research 3, no. 1 (2022): 500–516. https://doi.org/10.54660/.jfmr.2022.3.1.500-516.

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The exponential growth of data generated from diverse sources necessitates the development of robust, real-time data ingestion strategies that can ensure seamless, efficient, and scalable data integration. This paper explores recent advances in real-time data ingestion by focusing on the role of Fivetran, Rudderstack, and leading open-source ELT tools in modern data architectures. Real-time ingestion frameworks have evolved from batch-oriented processes to streaming models, supporting the demand for low-latency analytics and operational intelligence. Fivetran and Rudderstack exemplify automate

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Snitker, Grant. "The Charcoal Quantification Tool (CharTool): A Suite of Open-source Tools for Quantifying Charcoal Fragments and Sediment Properties in Archaeological and Paleoecological Analysis." Ethnobiology Letters 11, no. 1 (2020): 103–15. http://dx.doi.org/10.14237/ebl.11.1.2020.1653.

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Sedimentary charcoal analysis is increasingly used in archaeological and paleoecological research to examine human-environmental relationships at multiple scales. The recent availability of low-cost digital microscopes and imaging software has resulted in the rapid adoption of digital image analysis in charcoal studies. However, most published studies include only minimal accounts of software configurations or utilize proprietary image analysis programs, thus hindering replication, standardization, and comparability of charcoal analyses across the field. In an effort to encourage replicable me

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Rockell, Kim. "MUSIC(S) OF THE WORLD AS AN ONLINE EFL RESOURCE: A Japanese EFL classroom experience." Englisia: Journal of language, education, and humanities 7, no. 2 (2020): 102. http://dx.doi.org/10.22373/ej.v7i2.6325.

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This research considers how the study of musical performances from around the world can be drawn upon as a useful resource for language instruction, particularly in EFL Japanese university classrooms. This study shares the insights gained from literature reviews combined with the researcher’s teaching experiences on the advanced English elective course of Computer Assisted Ethnomusicology. This work was carried out over a five-year period between 2013–2018 at a university in the Tohoku region of Japan, based on a course that focused on the music and culture found in Oceania, South East Asia, E

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Royaux, Coline, Elie Arnaud, Julien Sananikone, et al. "Open Science for Better FAIRness: A biodiversity virtual research environment point of view." Biodiversity Information Science and Standards 6 (September 20, 2022): e95110. https://doi.org/10.3897/biss.6.95110.

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"FAIR (Findable, Accessible, Interoperable, Reusable) principles" (Wilkinson et al. 2016) and "open science" are two complementary movements in biodiversity science. Although we need to transition to making scientific data and associated material more FAIR, this does not necessarily imply open data or open source algorithms. Here, based on the experience of the French Biodiversity Data Hub ("Pôle national de données de Biodiversité" - PNDB), which is an e-infrastructure for and by researchers, we want to showcase how focusing on openness can be a strategy to efficiently reach greater FAIRness.

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Bouzar Fodil-Cherif, Siham. "Factors Standing Against Listening Success." Education and Linguistics Research 3, no. 2 (2017): 102. http://dx.doi.org/10.5296/elr.v3i2.11781.

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The largest part of the time spent in the communication process is devoted to listening. This skill is in fact very important for developing any language learning proficiency. However, it sometimes constitutes a source of trouble and frustration for learners of English as a foreign language (EFL) who find themselves unable to comprehend the spoken message transmitted to them in the target language. Therefore, this article explores the factors standing against the comprehension of the oral input in a way to open the path for thinking about measures to overcome listening difficulties.

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Md. Russell, Talukder. "Smart Transformation of EFL Teaching and Learning Approaches." Annals of Emerging Technologies in Computing 7, no. 3 (2023): 21–59. http://dx.doi.org/10.33166/aetic.2023.03.002.

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The calibration of the EFL teaching and learning approaches with Artificial Intelligence can potentially facilitate a smart transformation, fostering a personalized and engaging experience in teaching and learning among the stakeholders. The paper focuses on developing an EFL Big Data Ecosystem that is based on Big Data, Analytics, Machine Learning and cluster domain of EFL teaching and learning contents. The framework has been developed on the basis of the theory that machine learning algorithms, when exposed to structured or semi-structure data stored in the cluster domains of EFL Big Data e

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