Self-Service Dimensional Data Analytics: Scalable Patterns for Data-Driven Enterprises (2018)

By Francesco Dorigo, Bao Nguyen & Daniel Howell, Comcast

The IP video analytics platform design described herein streamlines the conversion of event-based analytics telemetry into time series visualization. With this objective in mind, Comcast developed a platform with the flexibility to support a wide variety of data producers and data consumers, and with the scalability to provide an enterprise solution for real-time analytics.

Parametrized and configurable execution libraries automate repetitive data engineering tasks. In addition, our analytics system provides abstraction layers both for data ingress and data egress, which enables a seamless evolution of the ETL (Extract, Transform, Load) pipeline. This has two main advantages: First to simplify the efforts related to upgrading the pipeline by letting producers and consumers evolve at their own pace, and second, the underlying technologies can seamlessly evolve with zero impact for ingestion and aggregation layers (producers and consumers).

This document describes the major components of our IP video analytics data pipeline, with a specific focus on custom components. This design reduces the time between data ingress and insight.

By clicking the "Download Paper" button, you are agreeing to our terms and conditions.

Similar Papers

Self Service Activation A Field Study Of High-Speed Data (HSD) Self Install
By Bruce F. Bahlmann, MediaOne Internet Services Group
1999
Create Data-Driven Solutions to Optimize IP Content Delivery and Identify Revenue Opportunities
By Brennen Lynch and Anukool Lakhina, Guavus, Inc.
2014
Access Network Data Analytics
By Karthik Sundaresan & Jay Zhu, CableLabs
2017
Applications Of Big Data Analytics To Identify New Revenue Streams & Improve Customer Experience
By Anukool Lakhina and Brennen Lynch, Guavus, Inc.
2013
Two Years Of Deploying ITV/EBIF Applications – Comcast’s Lessons Learned
By Robert Dandrea, Ph.D., Comcast Cable
2010
Implement Closed-Loop Network Decisioning Now with Big Data Analytics and Fuel Future-State SDN Use Cases Through a Common Platform Deployment
By Brennen Lynch and Anukool Lakhina, Guavus, Inc.
2014
New Generation Data Governance for Charter Network:1
By Jay Liew, Mark Teflian, Bruce Bacon, Jay Brophy & Randy Pettus, Charter Communications
2019
Big Data: Capitalizing On Untapped Knowledge
By Marthin De Beer and Kip Compton, Cisco Systems, Inc.
2013
More Than Just The Metadata: How Consumption Data And User Patterns Hold The Key To Personalizing TV
By Peter Docherty, Peter Docherty, Founder and CTO, ThinkAnalytics
2013
What Can Your CPE Tell You?
By Bryan Kelly, Comcast Cable
2019
More Results >>