
Communications, Media & Telecom
synvert supported a German media company to adapt to new GDPR regulations by creating an operational data lake using Apache Spark, Kudu, and Oozie, which enabled efficient data querying and ensured data privacy through anonymization and an updated Opt-In/Opt-Out system.
Initial situation
The 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.
Architecture
For the operational data lake technologies such as Apache Spark, a Kudu data base and Oozie are used.
Generated benefits
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.
Services accomplished by synvert
Information had to be taken from the table and mirrored to a Kudu database where queries could be efficiently performed.
In addition, synvert elaborated the data, and various data privacy concerns were addressed.
Notably, data were anonymized, and synvert updated an Opt-In/Opt-Out system.