What are the key steps for performing data integrity checks?
Data integrity is the accuracy, consistency, and reliability of data throughout its lifecycle. It is essential for data analytics, as it ensures that the data is valid, complete, and trustworthy for analysis and decision making. Data integrity checks are the processes and methods that verify and maintain the quality and integrity of data. In this article, we will explore the key steps for performing data integrity checks, and how they can help you improve your data analytics outcomes.
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Ale AnalystMarketing & Research Professional | Investment Consulting | Real Estate Due Diligence & Legal Audit | Sales & Analytics…
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Nikshita ShettyMasters in Data Science | Commercial Analyst | Fancy Dataviz 2023 Award Winner| Freelaancer | Data Analytics | Data…
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Anisha UdayakumarAI Evangelist @ Intel | Deep Learning, Next-Gen Technologies