Data activation company Qubole announced that Gannett, the country’s largest newspaper publisher, is using Qubole to optimize and analyze hundreds of terabytes of data each day. With Qubole‘s Presto engine, Gannett is able to consolidate log-level data from hundreds of customers into one scalable data lake, and query an entire day’s worth of data, about 70 million records across 300 dimensions, in seconds, according to Qubole.
After more than 100 years of growth, Gannett ran into a problem: what to do with the massive stores of data derived from digital operations, and how to store that data in a useful way, Qubole says.
Gannett transitioned to Qubole in early 2016, after finding it impossible to cost-effectively balance the needs of storage and compute resources with other vendors, Qubole says.
“Today’s enterprises often lack the resources they need to gain actionable insights from the wealth of data they hold,” said Qubole CEO Ashish Thusoo. “Qubole’s platform gives Gannett, and all our customers, the ability to quickly structure and analyze their data and glean insights they would otherwise miss, saving time, money, and manpower.”