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).

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;

  1. Files will be joinable using values such as email or credit card to boost analytics.
  2. Patient medication trials & results can be more easily tracked.
  3. An individual’s buying habits can be produced for an encrypted email.
  4. 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

redshift fuzzy graph

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