"No talks. You may opt to take up to 60 seconds to complain about Big Data. One paper per month, no obligation to read it."

We'll start by letting anyone who wants to take up to a minute to tell us what they've been doing with data lately.

This month's paper is Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing by Zaharia etal. Read it or don't - the goal is just to have something to start conversations. "Did you read the paper?" will do nicely.

Mention @PDXBigData on Twitter with the link to the full paper to suggest papers for future sessions.

There will be pizza.

"No talks. You may opt to take up to 60 seconds to complain about Big Data. One paper per month, no obligation to read it."

We'll start by letting anyone who wants to take up to a minute to tell us what they've been doing with data lately.

This month's paper is Computing Extremely Accurate Quantiles using t-Digests by Dunning and Ertl. (click "raw" to download) Read it or don't - the goal is just to have something to start conversations. "Did you read the paper?" will do nicely.

Mention @PDXBigData on Twitter with the link to the full paper to suggest papers for future sessions.

There will be food.

"No talks. You may opt to take up to 60 seconds to complain about Big Data. One paper per month, no obligation to read it."

We'll start by letting anyone who wants to take up to a minute to tell us what they've been doing with data lately.

This month's paper is Gaussian Process Latent Variable Models for Visualisation of High Dimensional Data by Lawrence. Read it or don't - the goal is just to have something to start conversations. "Did you read the paper?" will do nicely.

Mention @PDXBigData on Twitter with the link to the full paper to suggest papers for future sessions.

There will be food.

"No talks. You may opt to take up to 60 seconds to complain about Big Data. One paper per month, no obligation to read it."

We'll start by letting anyone who wants to take up to a minute to tell us what they've been doing with data lately.

This month's paper is Inferring Networks of Substitutable and Complementary Products by McAuley et al. Read it or don't - the goal is just to have something to start conversations. "Did you read the paper?" will do nicely.

Mention @PDXBigData on Twitter with the link to the full paper to suggest papers for future sessions.

There will be food.

"No talks. You may opt to take up to 60 seconds to complain about Big Data. One paper per month, no obligation to read it."

We'll start by letting anyone who wants to take up to a minute to tell us what they've been doing with data lately.

This month's paper is Asymptotic Behavior and Distributional Limits of Preferential Attachment Graphs by Berger et al. Read it or don't - the goal is just to have something to start conversations. "Did you read the paper?" will do nicely.

Mention @PDXBigData on Twitter with the link to the full paper to suggest papers for future sessions.

There will be food.

"No talks. You may opt to take up to 60 seconds to complain about Big Data. One paper per month, no obligation to read it."

We'll start by letting anyone who wants to take up to a minute to tell us what they've been doing with data lately.

This month's paper is Using Psycho-Acoustic Models and Self-Organizing Maps to Create a Hierarchical Structuring of Music by Musical Styles. by Rauber et al. Read it or don't - the goal is just to have something to start conversations. "Did you read the paper?" will do nicely.

Mention @PDXBigData on Twitter with the link to the full paper to suggest papers for future sessions.

There will be food.