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Simplify VMS

The goal of this project is to design and develop a robust data streaming pipeline service that aut1omates the collection of data change logs from both SQL and NoSQL databases. The collected data will be stored in a data lake and subsequently transformed into a structured format, serving as a reliable source for machine learning and data analytics endeavors, & text search capability with filters and ranking function.

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  • Automatic retrieval of data change logs from SQL and NoSQL databases.
  • Real-time monitoring and capturing of database updates, inserts, and deletes.
  • Efficient handling of incremental data changes to ensure data integrity.

  • Establishing a scalable and resilient data lake infrastructure.
  • Storing raw data in the data lake to retain the original source information.
  • Converting raw data into a structured format suitable for analysis(Parquet) and machine learning.
  • Applying necessary transformations, cleansing, and enrichment processes.
  • Providing seamless integration of the structured data with machine learning and data analytics platforms.
  • Enabling easy access and retrieval of data for analysis and model training.
Real-time data availability:
- Timely access to updated data for analysis and decision-making.
Data consistency:
- Ensuring that all changes in the source databases are accurately captured and stored.
Scalability:
- The pipeline can handle increasing data volumes without compromising performance.
Enhanced analytics:
- Improved insights through structured, cleaned, and enriched data.
Automation:
- Reducing manual effort and improving efficiency in data collection and transformation.

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+91 9686269013

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Horamavu Agara Main Road, Horamavu,
Bangalore-560043 Karnataka, India

Phone:
+91 9686269013
+91 6291833389

E-mail:
admin@rupantar.tech
itmvikastiwari@gmail.com