Vespa (Big Data Serving Engine) + Bullet (Real-Time Data Query Engine)

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To attend, please register here:
https://www.eventbrite.com/e/vespa-big-data-serving-engine-bullet-real-time-data-query-engine-tickets-53079502220

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Hi Everyone!

We’d love to invite you to a meetup on December 5th hosted by Oath (Yahoo, AOL, and many other tech companies - a Verizon subsidiary) in Sunnyvale - Yahoo, Building G, 2nd Floor.

Pizza, cookies, and refreshments will be served! There will be plenty of time for conversation, networking, and Q&A. Please see special driving instructions below.

Agenda

5:30pm - 6:30pm: Pizza, refreshments, cookies, and networking.

6:30pm - 7:15pm: “Introduction to Vespa (vespa.ai) – the open source big data serving engine (Yahoo)”

Offline and stream processing of big data sets can be done with tools such as Hadoop, Spark, and Storm, but what if you need to process big data at the time a user is making a request? Vespa allows you to search, organize and evaluate machine-learned models from e.g TensorFlow over large, evolving data sets with latencies in the tens of milliseconds. Vespa is behind the recommendation, ad targeting, and search at Yahoo where it handles billions of daily queries over billions of documents.

Speaker Bio:
Jon Bratseth is a distinguished architect at Oath (Yahoo, AOL, and many other tech companies - a Verizon subsidiary) and the architect and one of the main contributors to Vespa, the open big data serving engine. Jon has 20 years experience as an architect and programmer on large distributed systems. He has a masters in computer science from the Norwegian University of Science and Technology.

7:15pm - 8pm: “Bullet: Open Source Real-Time Data Query Engine”

Bullet (https://github.com/bullet-db) is an open-sourced, lightweight, scalable, pluggable, multi-tenant query system that lets you query any data flowing through a streaming system without having to store it. Bullet queries look forward in time - they are submitted first and operate on data flowing through the system from the point of submission and can run forever. Bullet addresses the challenges of supporting intractable Big Data aggregations like Top K, Counting Distincts, and Windowing efficiently without having a storage layer using Sketch-based algorithms.

Speaker Bios:

• Michael Natkovich, Director Software Dev Engineering, Oath

Michael serves as the architect and director for Oath's next generation stream processing, batch processing, experimentation, and general data tools. Problems he’s dealt with focus on increasing scale, reducing latency, improving operability, focusing on customer satisfaction, while driving quality in data and engineering best practices.

• Nate Speidel, Software Engineer, Oath

In addition to expanding and supporting Bullet, Nate is focused on Oath's data processing pipeline - extracting, transforming, and storing big data. Nate has a Masters Degree in Computer Science, from the University of California, San Diego.

8pm - 8:30pm: Networking

Special Driving and Building Instructions:

Yahoo, Building G, is located on the corner of Mathilda and Java.

From 237 or 101 Take Mathilda North to First Avenue.

Turn right at the light.

Turn right into the driveway and go to the second building.

Please park in the parking lot behind Building G.

The lobby of G is between the two buildings - you should see a bunch of small grassy hills between the buildings.

Once inside G, please take the elevators to the 2nd floor.