Distributed Counting with Dataflow by Geoff Cooney of mabl
Counting in a highly distributed, scalable system can be surprisingly hard. See an overview and hands on example of how you can use Google Dataflow to generate reliable real-time metrics at scale.
Incorporating Online User Feedback with Cloud ML by John Kinnebrew of mabl
Incorporating direct user feedback on machine learning results can improve personalization and efficacy, but online learning or immediate model re-training is not always feasible. We discuss how mabl combines Google Cloud ML-Engine, Dataflow, and Datastore to handle the gap between when a user provides feedback and when retrained models are deployed.
The Ins and Outs of GCP Billing at Scale by Lukas Karlsson of the Broad Institute
• creating and managing Google Billing Accounts and Subaccounts (resellers) • viewing your billing information in the admin console
• exporting billing data to CSV, JSON, or BigQuery
• viewing/analyzing billing data with DataLab and DataStudio
• Orbitera and third party tools
Lukas Karlsson is the Cloud Architect and Developer Advocate at Broad Institute of MIT and Harvard, where has been supporting scientific research for the last 14 years. Broad Institute of MIT and Harvard was launched in 2004 to improve human health by using genomics to advance our understanding of the biology and treatment of human disease, and to help lay the groundwork for a new generation of therapies.
Google, 325 Main St, Cambridge, MA 02142
Entrance on Main St near Kendall Station. Get badges from registration desk in the lobby through the double doors next to Beatnik Beverages that is labeled 325 Main Street.
6:30-7:00 pm pm Meet and greet over food
7:00-7:30 pm Lightning Talks
7:30-8:30 pm Lukas Keynote Presentation start
Thanks to Google for sponsorship and hosting.
Analytics By Design
Cloud Solution Architect