AI-Driven Data Preparation: The Key to Unlocking Cloud-Based Analytics

The rapid adoption of cloud-based analytics has revolutionized data-driven decision-making across industries. Cloud- based analytics has transformed how businesses make decisions by leveraging vast amounts of data. However, preparing data for analysis—such as cleaning, transforming, and organizing it—can be a complicated and time- consuming process. AI-driven data preparation (AIDP) is a solution that automates these steps, reducing the time and effort needed to prepare data while improving its quality. This paper explains the importance of AI-driven data preparation, discusses how it works, and shows how businesses can benefit from using AI in their data preparation process for cloud analytics. The use of diagrams, flowcharts, and pseudocode helps explain these concepts in a simplified yet technical manner. Keywords AI-driven data preparation, cloud-based analytics, data pipeline, automation, machine learning, data wrangling, ETL, data transformation, big data

Authors

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2024-10-05
DOI
https://doi.org/10.55041/ijsrem23999
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
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article

AI-Driven Data Preparation: The Key to Unlocking Cloud-Based Analytics

Syed Ziaurrahman Ashraf -
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Big Data and Business Intelligence
article

AI-Driven Data Preparation: The Key to Unlocking Cloud-Based Analytics

Syed Ziaurrahman Ashraf -
article en

Abstract

The rapid adoption of cloud-based analytics has revolutionized data-driven decision-making across industries. Cloud- based analytics has transformed how businesses make decisions by leveraging vast amounts of data. However, preparing data for analysis—such as cleaning, transforming, and organizing it—can be a complicated and time- consuming process. AI-driven data preparation (AIDP) is a solution that automates these steps, reducing the time and effort needed to prepare data while improving its quality. This paper explains the importance of AI-driven data preparation, discusses how it works, and shows how businesses can benefit from using AI in their data preparation process for cloud analytics. The use of diagrams, flowcharts, and pseudocode helps explain these concepts in a simplified yet technical manner. Keywords AI-driven data preparation, cloud-based analytics, data pipeline, automation, machine learning, data wrangling, ETL, data transformation, big data

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 08(10)
Industry, innovation and infrastructure
Openalex Percentile: Top 74%
Big Data and Business Intelligence
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