How to Save up to 50% on Azure ETL While Improving Data Quality
( go to the article → https://databricks.com/blog/2021/01/21/how-to-save-up-to-50-on-azure-etl-while-improving-data-quality.html )
The challenges of data quality One of the most common issues our customers face is maintaining high data quality standards, especially as they rapidly increase the volume of data they process, analyze and publish. Data validation, data transformation and de-identification can be complex and time-consuming. As data volumes grow, new downstream use cases and applications... The post How to Save up to 50% on Azure ETL While Improving Data Quality appeared first on Databricks.
Jan. 21, 2021, 5 p.m.
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