Parse.ly, a leading provider of audience insights for digital publishers and brands, announced the availability of the Parse.ly Data Pipeline, a live stream of user- and event-level data that is structured for sophisticated analysis and real-time data engineering projects.
The better an organization can utilize its data, the closer it comes to understanding its audience,” said Sachin Kamdar, co-founder and CEO at Parse.ly. “With our Data Pipeline, we’re pleased to provide sites with a turnkey way to bring their raw data in-house. Taking ownership of your data is the first step; unlocking its secrets is next. Parse.ly’s here to help you do both.”
Parse.ly customers include top sites like The Telegraph, Mashable, Slate, Gawker, and Conde Nast. Parse.ly’s Data Pipeline was created in response to an industry call for direct access to data for engineers, analysts, and data scientists. The real-time infrastructure builds upon Parse.ly’s dashboard and API offerings, which already collect and process billions of user events per month.
Digital publishers and other web companies have long felt that point vendor solutions are holding their data hostage,” said Andrew Montalenti, co-founder and CTO at Parse.ly. “Parse.ly’s Data Pipeline unlocks this data, making it easy to build an in-house practice around analytics. This lets our customers focus on meaningful analysis, rather than the arduous task of building and managing data infrastructure.”
An Ideal Data Platform for Developers
The Data Pipeline provides full access to historical raw data, as well as real-time data via streaming endpoints.
Parse.ly’s open source recipes provide an ideal developer experience for building in-house ETL processes. The data formats integrate cleanly with open source data analysis stacks, like R, Python, Pandas, Hadoop, and Spark. The raw events are also ideal for imports into cloud SQL engines like Amazon Redshift or Google BigQuery.
Easy Integration with Business Intelligence Tools
Customers are able to use first-party data about their audience to gain deeper insights into valuable user segments, campaign tracking, device segmentation, and more. An organization’s existing Business Intelligence tools, such as Looker or Tableau, can easily plug in to this data to visualize and share custom analyses of every user action and event.
Looker is excited to partner with Parse.ly to provide an easy way for publishers and brands to analyze complex data,” said Keenan Rice, vice president of alliances at Looker. “The Looker Data App for Parse.ly, combined with Parse.ly’s Data Pipeline, means customers can now focus on being data-driven and finding deeper insights immediately rather than spending months setting up infrastructure and custom reporting.”
To learn more about Parse.ly’s Data Pipeline, please visit http://parsely.com/data-pipeline/.
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