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Getting the Most Out of Time-series Data

Robert Johnson (Interana)
Data Science Beekman Parlor - Sutton North
Average rating: ***..
(3.30, 10 ratings)

Many of the world’s largest datasets are time series. With today’s technology the number of things in the world doesn’t seem that big, but how those things change over time is. Unfortunately many data tools don’t natively consider time a first-class concept. I’ll be talking about a variety of ways to organize your data and architect your data systems to get the most out of your time-based data.

Robert Johnson


Bobby is co-founder of Interana, where he is building the next generation of tools for analyzing massive amounts of data in real time.

Bobby was Director of Engineering at Facebook where he led the infrastructure engineering team for 6 years. During that time the team scaled the site from just a few million users to almost a billion. He personally wrote a number of the early systems including Scribe and the first version of Haystack. His team built Facebook’s hadoop/hive analytics stack and the memcache/mysql stack – a database that served trillions objects and answered billions of queries per second. He received a B.S. in Engineering and Applied Science from Caltech.

Posts by Bobby:

Scaling Facebook to 500 Million Users and Beyond (Facebook Blog)

Scribe Makes Its Open Source Debut (Facebook Blog)


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