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The process of data transformation is comprised of several sub-processes
Why choose us
We Offer Most Efficient ETL Services
Transformation is generally considered to be the most important part of the ETL process. Data transformation improves data integrity while final step in the ETL process is to load the newly transformed data into a new destination (data lake or data warehouse).
Increased Data Security:
Improved Data Quality
We have marvellous Implementation experience
Although it can be done manually with a team of data engineers, hand-coded data extraction can be time-intensive and prone to errors. HyprSci automates extractions and creates a more efficient and reliable workflow.
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ETL process can be expensive to implement and maintain, especially for organizations with limited resources
The Effect of Flexibility on Implementation and Performance
Manual processes can be limited in terms of flexibility, as it may not be able to handle unstructured data or real-time data streams.
The value of a scalable solution has an impact
Manual processes can be limited in terms of scalability, as it may not be able to handle very large amounts of data.
Ensure Data Security every time
Open process can raise concerns about data privacy, as large amounts of data are collected, stored, and analyzed.