ETL Tools, High Quality Data and Raw Data

Data Quality Testing: Why to Test, What to Test, and 5 Useful Tools

Databand.ai

JUNE 14, 2023

It enables: Enhanced decision-making: Accurate and reliable data allows businesses to make well-informed decisions, leading to increased revenue and improved operational efficiency. Risk mitigation: Data errors can result in expensive mistakes or even legal issues.

Amazon Web Services

Amazon Web Services Datasets High Quality Data ETL Tools

Data Quality Testing: 7 Essential Tests

Monte Carlo

DECEMBER 19, 2022

Too much data Too much data might not sound like a problem (it is called big data afterall), but when rows populate out of proportion, it can slow model performance and increase compute costs. Freshness tests can be created manually using SQL rules, or natively within certain ETL tools like the dbt source freshness command.

High Quality Data

High Quality Data Data Bytes SQL

Data Engineering Digest

Data Quality Testing: Why to Test, What to Test, and 5 Useful Tools

Data Quality Testing: 7 Essential Tests

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