INITIAL SITUATION

Our customer, a German media company, had to adapt their subscribers to a new service respectively new GDPR regulations and they were having serious issues with a Siebel database.

Queries could not be made directly, as the database was already at capacity.​

SOLUTION

Information had to be taken from the table and mirrored to a Kudu database where queries could be efficiently performed.

In addition, the data was elaborated, and various data privacy concerns were addressed.

Notably, data were anonymized, and an Opt-In/Opt-Out system was updated.​

BUSINESS VALUE

A reactive database is imperative when trying to extract business intelligence from data.

With a low latency query system, insights can be pulled up immediately across huge volumes of data.

Additionally, GDPR considerations, such as data anonymization, are imperative to avoid hefty auditing penalties.​

FRAMEWORK & TOOLS

Apache Spark, Kudu, and Oozie.