Analytical platforms

Media companies today are looking for increased uptime and enhanced availability in their data production workloads. Dynamic scaling data platforms help business accelerate data pipelines while also reducing the complexity, cost, and deployment time of big data projects.

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Qubole

Qubole Data Service (QDS) is a self-service, cloud data platform based on enterprise-grade data processing engines. Processing engines include Apache Spark, Presto, Hive, Quantum, and Airflow. QDS is an intuitive, and fully automated environment for analytics, machine learning, and end-to-end data processing. This includes batch and streaming extract, transform, load (ETL), unplanned SQL queries, model training, and deployment.

Qubole’s solution enables media companies to scale seamlessly to accommodate new data and users without additional administrative overhead. QDS takes care of all infrastructure complexities so that users can focus on queries to attain business critical insights. QDS’ pre-configured financial governance policies and built-in optimization reduce cloud computing costs by up to 50%. These customer benefits are possible due to the following product features included with Qubole Data Service (QDS):

  • Comprehensive self-service user experience
  • Enterprise-grade data processing engines
  • Adaptive serverless platform
  • Industrial-strength infrastructure security
  • Any scale deployments with low administrative overhead

How it works

Additional resources from Qubole

TiVo

TiVo an entertainment technology and audience insights company that needed a solution to store data, run analytics workloads, and generate reporting. The engineering team chose Qubole. It allows them to easily scale and manage its Presto clusters, as well as audit queries and debug commands. QDS has provided TiVo with elastic scaling and optimized workloads.  This resulted in cost savings, improved efficiency, and enhanced data availability.

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The Qubole interface makes it easy for our developers to go to a notebook, pick a cluster, and get started with a query. They don't have to worry about managing the cluster, and they're able to collaborate with other developers easily by sharing notebooks.

           Lucas Waye, Principal Engineer, TiVo Inc.

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