Big data technologies can be both complex and involve time consuming manual processes. Organizations that intelligently automate big data operations lower their costs, make their teams more productive, scale more efficiently, and reduce the risk of failure.

In our webinar, representatives from TiVo, creator of a digital recording platform for television content, will explain how they implemented a new big data and analytics platform that dynamically scales in response to changing demand. 

TiVo will share lessons learned and best practices for quickly and affordably ingesting, processing, and making available for analysis terabytes of streaming and batch viewership data from millions of households.

What you'll learn in this webinar:

  • How to dramatically reduce management complexities for big data analytics operations on AWS

  • Best practices for optimizing data lakes for self-service analytics that enable teams to productionize data science and accelerate data pipelines

  • About using Qubole’s auto-scaling to reduce the complexity and deployment time of big data projects

  • How to reduce the cost of big data workloads with Qubole’s automated Spot Instance Bidding and management

Speakers:

AWS Speaker: Paul Sears, Solutions Architect
Qubole Speaker: Harsh Jetly, Solutions Architect
TiVo Speaker: Ashish Mrig, Sr. Manager, Big Data Analytics

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On Demand

Please register below to access the recording.