Google Cloud Platform > 实例探究 > Looker + Kollective: Adding Value to Video Streaming

Looker + Kollective: Adding Value to Video Streaming

公司规模

Large Corporate

地区

America

国家

United States

产品

Kollective's Enterprise Content Delivery Network (ECDN)
Kollective IQ
MemSQL
Looker

技术栈

Cloud-based platform
Kafka Streams
JSON

实施规模

Enterprise-wide Deployment

影响指标

Productivity Improvements
Customer Satisfaction

技术

分析与建模 - 实时分析
基础设施即服务 (IaaS) - 云计算

适用行业

电信

适用功能

商业运营

用例

实时定位系统 (RTLS)
边缘计算与边缘智能

服务

数据科学服务
云规划/设计/实施服务

关于客户

Kollective is a company founded in 2000 that offers a cloud-based, smart peering video distribution platform. The platform leverages existing network infrastructure to deliver content faster, more reliably, and with less bandwidth. It scales existing IT infrastructure to accelerate content delivery to the edge of the enterprise while minimizing network congestion. Kollective's Enterprise Content Delivery Network (ECDN) makes it possible to stream live video and video on demand (VOD) to the edge of a company's network without affecting bandwidth or interfering with other critical applications. Kollective also offers Kollective IQ, an intelligent analytics platform. A component of their ECDN, Kollective IQ features an intuitive dashboard that lets customers instantly quantify the reach, performance, and quality of their video communications strategy.

登录后查看完整内容

挑战

Kollective, a company that offers a cloud-based, smart peering video distribution platform, was facing challenges with its legacy system. The system was slow, inflexible, and incapable of delivering analytics that could unlock the full value of the massive amount of data generated from numerous sources such as grid servers, directory servers, APIs, Kafka Streams bin logs, with multiple data types including JSON. The company needed a solution that was flexible, fast, and scalable to meet the growing demands of its rapidly onboarding new customers. The legacy system was only capable of providing a retrospective on specific events that had occurred, but no real analytics. If a customer wanted to get any sort of custom metric out of it, a tech engineer could get back to them in six months.

登录后查看完整内容

解决方案

After extensive research and testing, Kollective decided to use MemSQL for the infrastructure and Looker for analytics. MemSQL is a database that can manage mixed workloads for both operational and analytic requirements, making it well suited for real-time applications. Looker's in-database architecture means that it would also offer speed. Looker offers easy-to-use self-service reporting and visualization tools for business users, along with a powerful yet flexible modeling language for use by data scientists. Both MemSQL and Looker are designed to scale, an essential feature for a rapidly growing company that is continuously expanding the amount of data as well as increasing its analytics requirements. With this robust new solution in place, Kollective was able to drive incremental revenue using analytics as a value-added service.

登录后查看完整内容

运营影响

Kollective was able to bring to market a product that told a much better story, one that got to the heart of what their customers were wanting to know in a much more useable, much more flexible, and much quicker way.
The solution was easy to deploy and integrate, which let the engineers develop an entirely new revenue stream in a mere nine months.
The help desk can see where those hotspots are and respond in real time.
Easy to use, self-service tools for creating reports and dashboards put essential insights in the hands of all the key stakeholders.
With MemSQL and Looker, Kollective has top-tier security.

登录后查看完整内容

数量效益

Engineers were able to develop an entirely new revenue stream in a mere nine months.
With Looker, Kollective was seeing one to one-and-a-half second returns on data in the dashboard, which was like a factorial reduction in the time that it was taking to run queries.

登录后查看完整内容