NEWS 》 Building a streaming anomaly detection solution at TELUS using Pub/Sub, Dataflow, and BigQuery ML
Here is a cool video of my student Abdul Rahman Sattar in collaboration with Masud Hasan from Google Cloud Platform (GCP) on:
Securing its internal networks from malware and security threats is critical at TELUS. With an ever-changing malware
landscape and the explosion of activities in IoT and M2M, existing signature-based solutions for malware detection
are no longer sufficient. The TELUS cyber security team is pushing the boundaries on state-of-the-art technologies
to detect suspicious behavior in its wireless networks.
Learn how Google and the TELUS team have worked together to modernize a security analytics platform from an on-premises
Hadoop/Spark-based data lake. This session includes a live demo of a streaming analytics pipeline using Beam/Dataflow
which processes thousands of network log events/sec, aggregates, and finds outliers in near real time based on a k-means
clustering model using BigQuery ML. See the power of streaming analytics using machine learning.
Abdul Rahman Sattar - Lead Architect - Cybersecurity Analytics, TELUS, Canada.
Specialties: Cybersecurity, Advanced Analytics using AI/ML, On Prem and Cloud Big Data Architecture,
Software R&D, Enterprise Software
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