Automated Workflow Management In Data Engineering Using Elt

• Author(s):

  Prof. Sheetal Shimpikar | Rajashree Deokar | Barsharani Padhy | Sakshi Sobale | Shravani Patil

• Keywords:

  ELT, Extraction, Transformation, Loading, Data Visualization, NoSQL Database MongoDB .

• Abstract:

  Organizations Face Challenges In Managing Data From Various Sources, Including Databases, APIs, And External Platforms. Data Inconsistency, Redundancy, And Inefficiencies Hinder Effective Analysis. To Address These Issues, An ELT (Extract, Load, Transform) Approach, Combined With MongoDB And Data Visualization Solutions, Can Be Implemented. This Involves Extracting Data From Diverse Sources, Loading It Into A Storage System, Performing Transformations Within MongoDB To Clean, Standardize, And Structure The Data For Analysis, And Using Data Visualization Tools To Present The Transformed Data In A Meaningful Way. This Approach Offers A Streamlined, Scalable Framework For Managing Multi-source Data, Optimizing Data Quality, And Facilitating Decision-making Insights.

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Other Details

• Paper id:

  IJSARTV11I4102995

• Published in:

  Volume: 11 Issue: 4 April 2025

• Publication Date:

  2025-04-03

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