Napster, a music streaming service, is implementing the Teradata Unified Data Architecture (UDA) as part of making investment in analytics platform.
Teradata, a big data analytics company, announced that Napster’s deployment includes multiple nodes of the Data Warehouse Appliance with Teradata QueryGrid for data and systems integration and, in addition, a Teradata Appliance for Hadoop with Cloudera.
Napster has a catalog of over 40 million songs. Napster delivers music streaming to more than three million paying subscribers in 34 countries.
“This upgrade establishes Teradata’s UDA technology as the go-forward foundation for analytics to drive Napster’s next-generation music streaming products,” said Brian Ringer, chief technology officer of Napster.
Its product offerings such as the Listener Network which measures music taste overlap among like-minded music fans to help them discover more music they love demands more advanced big data tools.
Teradata helps Napster to optimize customer level data — including content and application usage to more effectively analyze and predict lifetime customer value through customer behavior and usage data.
Napster tracks listeners’ preferences using music analytics. The company’s big data analytic teams use data, often Hadoop platforms, combined with data warehousing, to mine customer data, stay relevant and keep listeners engaged.
Tim Stevens, vice president, Business and Corporate Development, Cloudera, said: “The power of the Teradata Hadoop Appliance with Cloudera minimizes the number of moving parts required for deployment and operations, which significantly accelerates the pace to positive results and reduces total cost of ownership.”
Napster is deploying Teradata QueryGrid, which works to connect a Teradata and Hadoop system to massive scale at speeds of 10 terabytes per second.