View Fuzzy Matching results of Machine Learning (ML) Framework. Below are the driving & matching values & likelihood of matches. We use Spark RDD secure memory for data privacy, never decrypting source data (preserving Our Compliance Efforts).
Encrypted results are stored in a database for others use.
Soon; the User can select the correct value for matched entries & synchronize records accordingly.
Finally, a Major offering for Data Scientists, Analysts & ETL users is the ability to request columns such as email, credit card, address, name etc. to contain the same encrypted value across multiple files for your ecosystem. This means;
- Files will be joinable using values such as email or credit card to boost analytics.
- Patient medication trials & results can be more easily tracked.
- An individual’s buying habits can be produced for an encrypted email.
- CCPA/GDPR compliance will remain intact!
Steve 847-791-7838 www.dpiacomply.com
#CCPA #GDPR #AWS #Encryption #Breach #Oracle #Google #Microsoft #Azure #Cloud #Hadoop #MySQL #Big Data #IBM #Redshift #Snowflake #ETL #Informatica #OneTrust #CMO #Teradata #DB2 #PostgreSQL #Talend #MongoDB #SQL Server #Redshift #Data Warehouse #Spark #ETL #PII #ML #NLP #Fuzzy #Probabilistic #AI #Machine Learning
steven@gdprcompliancymaster.com 