Big Data Quality: do you have everything under control?
Data quality matters in all areas of human life – science, technology, medicine, economics, etc. The errors arising in different data categories also depend on the type of data infrastructure a business incorporates into its system. Understanding the differences between a data lake vs data warehouse system can help organizations use a data infrastructure that manages information efficiently while producing clean results. It will ensure businesses can analyze and process data effectively and make informed decisions from high-quality outcomes.
In 2016, Australian scientists Mark Ziemann, Yotam Eren and Assam El-Osta published an article “Gene name errors are widespread in the scientific literature”. The crux of the problem was this. In Excel, the auto-formatting function can change the data you enter. First of all, it concerns dates. For example, “MARCH1” will be changed to “1-Mar” and “SEPT1” to “1-Sep”. That would be ok, but “MARCH1” and “SEPT1” are gene names. As a result of such autocorrection, every fifth work from the studied ones (and this is about 3,600) contained errors of this kind.
You can say that you are using completely different technologies. But how much are you confident in the quality of the data you rely on to make decisions?
The observability platform by Masthead is the best choice if you want to control the quality of your data
Right out-of-the-box, you get an ML algorithm that tracks almost every anomaly possible in big data. For example:
- duplicate data;
- incorrect data format;
- values going beyond the expected range;
- too many cells containing zeros;
- problems in column lineage, etc.
Only logs are used to check the data quality. The algorithm does not directly touch or even access the data in the database. Therefore, the proposed product provides high security, compatible with HIPAA requirements.
Masthead offers a zero-code integration tool. Its installation takes 15-20 minutes. After the process is completed, you get a flexible data monitoring tool. You can set trigger thresholds, different priority for certain columns, preferred way to receive alerts about danger.
See the Masthead website for more information on monitoring your data quality with this algorithm. Follow the link and get answers to your questions.
