Improving the data warehousing toolkit through low-code/no-code
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Keywords

Low-code
Data Integration

How to Cite

[1]
Sarbaree Mishra, “Improving the data warehousing toolkit through low-code/no-code”, Journal of Bioinformatics and Artificial Intelligence, vol. 1, no. 2, pp. 115–137, Oct. 2021, Accessed: Dec. 18, 2024. [Online]. Available: https://biotechjournal.org/index.php/jbai/article/view/139

Abstract

The increasing demand for faster data-driven decision-making and the need for flexibility and rapid prototyping have driven significant changes in managing data processes. Low-code/no-code (LCNC) platforms have emerged as a powerful solution in this context, offering an innovative way to design, manage, and optimize data pipelines and workflows without the need for extensive coding knowledge or deep technical expertise. These platforms provide an intuitive, user-friendly interface that allows business users, data analysts, and other stakeholders to create complex data workflows, automate processes, and generate insights quickly without relying on IT departments for every modification. By integrating LCNC tools into the data warehousing toolkit, organizations can accelerate the deployment of data solutions, enhance collaboration between technical and non-technical teams, and empower business users to take a more active role in managing data resources. The ability to simplify tasks such as data integration, reporting, and analytics offers substantial benefits, especially in improving efficiency & reducing the time-to-market for data initiatives. However, while LCNC platforms bring many advantages, they also present challenges around governance, data security, and scalability. It is essential for organizations to carefully consider these aspects when integrating LCNC tools into their data workflows. This paper examines how LCNC platforms transform data warehousing practices by providing more accessible & efficient ways to handle data. It also highlights real-world applications and case studies where businesses have successfully adopted LCNC tools to improve data quality, streamline processes, & drive business intelligence initiatives. By focusing on these use cases, the paper sheds light on the growing role of LCNC in modern data management and its potential to reshape the data warehousing landscape for years to come.

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