Everyone knows you will never get anywhere in business without integrity and the right connections. Turns out, this is true in data extraction, transformation, and loading (ETL), as well. Data integrity – how accurate, comprehensive, and consistent your data inputs and outputs are – has a direct bearing on how accurate your forecasting and planning […]
Data Integrity, Part 1: Don’t Get Duped Read More »
Data is king for small, medium and large organizations alike, but data can also be a monster lurking under the bed. Terms like data lake, ETL (extract, transform, load) and data warehousing sometimes intimidate even the savviest business professionals. No matter how daunting, however, modern data collection isn’t slowing down. By 2025, it is estimated
3 Considerations When Preparing Data Using ETL for Snowflake and Redshift Read More »
Data blending, or the process of combining data sets, is a staple of data prep. As we’ve previously discussed, low code data blending allows non-technical analysts to combine data sets without using SQL or other coding to, creating new efficiency in a process that used to be handled exclusively by IT. Yet there are key
Why You Should Not Do Data Blending on Your Desktop Read More »
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