Case Study

GAIA Case Study

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CASE STUDY For more information: WWW.QUBOLE.COM Looking Ahead Gaia is presently considering new ways to use Qubole. Analysts like Lawlor and Koblitz are particularly intrigued by the prospect of using Qubole notebooks and dashboards to enable company stakeholders to generate their own ad hoc queries to surface business insights. This practice would reduce the workload on company analysts while also allowing for more granular reporting. On the data science side, the team hopes to automatically divert even more types of data into the data lake—for example, data from email campaigns (which is currently harvested manually)—and to generate more real-time insights. Qubole is the open data lake company that provides a simple and secure data lake platform for machine learning, streaming, and ad-hoc analytics. No other platform provides the openness and data workload flexibility of Qubole while radically accelerating data lake adoption, reducing time to value, and lowering cloud data lake costs by 50 percent. Qubole's Platform provides end-to-end data lake services such as cloud infrastructure management, data management, continuous data engineering, analytics, and machine learning with near-zero administration. Qubole is trusted by leading brands such as Expedia, Disney, Oracle, Gannett and Adobe to spur innovation and to transform their businesses for the era of big data. For more information, visit us online. Business Value • Improved recommendation engine drives 50 percent lift in subscriber engagement, content conversion, and consumption. • Greater confidence in daily business insights enables true data-driven decision-making. • Workload-aware autoscaling of compute power ensures workloads complete successfully, providing users access with critical information and resources with significant cost-savings. • No outages, minimal troubleshooting, and near-zero administration frees engineers to focus on generating value for the business. " It becomes more powerful as we add different types of data into our data lake, because we can combine new data with our existing data to help drive more insightful business decisions. " Patty Vonick Senior Data Engineer, Gaia

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