Hey Komal,
To efficiently handle data integration issues within IBM Data Science Experience, use data profiling, transformation, matching, and merging tools to standardize and unify diverse datasets. Also, assess data quality and collaborate with team members for transparency and reproducibility. Hope this helps.
-Ray
Original Message:
Sent: 2/10/2024 12:51:00 AM
From: Nitech Stainless
Subject: Issues with Data Integration on IBM Data Science Experience
Hello Buddy, I am Komal. I worked at Nitech Stainless Inc is one of the well-known Stainless Steel Flanges Manufacturer in India. I'm encountering problems while integrating diverse datasets within IBM Data Science Experience. The data seems to have various formats and structures, making it challenging to create a unified dataset. How can I efficiently handle data integration issues within IBM Data Science Experience
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Nitech Stainless
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#AIandDSSkills