Data Quality has been mostly overlooked by teams and companies, they miss the importance of how bad data can lead to bad decisions and how important is to validate data during the pipeline. The great news is that recently with the rise of new term "Data Contracts", data validation and quality has gained lot of hype and pushing teams to adopt the right approach to solve data quality and consistency issues. There are numerous tools now that solves this problem, from open source libraries to SaaS products.
Building Framework on top of Great Expectations
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Building Framework on top of Great Expectations
Data Quality has been mostly overlooked by teams and companies, they miss the importance of how bad data can lead to bad decisions and how important is to validate data during the pipeline. The great news is that recently with the rise of new term "Data Contracts", data validation and quality has gained lot of hype and pushing teams to adopt the right approach to solve data quality and consistency issues. There are numerous tools now that solves this problem, from open source libraries to SaaS products.