Shazam is one of the world’s most popular apps, used by more than 100 million people each month to identify music, get song lyrics, and discover the music that artists discover themselves. Chris Kammermann explores how big data is helping to guide the future of Shazam and how the company is empowering employees to have fun with big data through tools like Splunk—in turn helping to create new products and revenue streams, as well as the term “datafuncation." Chris reviews Shazam’s data story, detailing how the company became “datafied” and able to share the value of its big data across the marketing and music industries.
Chris Kammermann grew up on the edge of the Australian outback with a pet Kangaroo and a talent for sheep shearing (current record: 15 in one day). Chris ventured over to the UK on a backpack visa in 2008 and has been working in British IT ever since. The team lead for service engineering infrastructure at Shazam since 2014, Chris describes himself as a jack of all trades and a general nice guy.
©2016, O’Reilly UK Ltd • (800) 889-8969 or (707) 827-7019 • Monday-Friday 7:30am-5pm PT • All trademarks and registered trademarks appearing on oreilly.com are the property of their respective owners. • email@example.com
Apache Hadoop, Hadoop, Apache Spark, Spark, and Apache are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries, and are used with permission. The Apache Software Foundation has no affiliation with and does not endorse, or review the materials provided at this event, which is managed by O'Reilly Media and/or Cloudera.