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Tuesday
Jan 15, 2013
Portland Java User Group: Apache Drill
Cloudability

This month's topic: Apache Drill

Apache Drill is a new Apache incubator project. Its goal is to provide a distributed system for interactive analysis of large-scale datasets. Inspired by Google's Dremel technology, it aims to process trillions of records in seconds. We will cover the goals of Apache Drill, its use cases and how it relates to Hadoop, MongoDB and other large-scale distributed systems. We'll also talk about details of the architecture, points of extensibility, data flow and our first query languages (DrQL and SQL).

Speaker: Gera Shegalov Gera Shegalov owns Hadoop MapReduce and Hadoop Core components in MapR's Hadoop Distribution. Prior to MapR, he worked at Oracle in Oracle Database High Availability on (Active) Data Guard, and in Oracle Java Platform Group on JMS backend communication and storage. Gera received Masters and PhD in Computer Science from Saarland University in Saarbruecken, Germany. His research focussed on workflow management, temporal databases, as well as application & database recovery.

Website
Thursday
Jul 18, 2013
PDX Big Data Discussion Group

"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 A time-efficient, linear-space local similarity algorithm by Huang and Miller. 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.

Website
Thursday
Aug 15, 2013
PDX Big Data Discussion Group

"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 Disk Aware Discord Discovery: Finding Unusual Time Series in Terabyte Sized Datasets by Yankov, Keogh and Rebbapragada. 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.

Website
Thursday
Sep 19, 2013
PDX Big Data Discussion Group

"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 Large-Scale Matrix Factorization with Distributed Stochastic Gradient Descent by Gemulla, Haas, Nijkamp and Sismanis. 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.

Website
Thursday
Oct 24, 2013
PDX Big Data Discussion Group
Green Dragon Bistro & Brew Pub

"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 Computational Methods for Dynamic Graphs by Cortes, Pregibon, and Volinsky. 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.

Website
Thursday
Dec 5, 2013
PDX Big Data Discussion Group
Green Dragon Bistro & Brew Pub

"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 Ad Click Prediction: a View from the Trenches by McMahan 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.

Website
Thursday
Jan 9, 2014
PDX Big Data Discussion Group
Rogue Hall

"No talks. One paper per month, no obligation to read it."

This month's paper is Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget by Korattikara, Chen, and Welling. 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.

Website
Thursday
Feb 6, 2014
CANCELED - PDX Big Data Discussion Group
Rogue Hall

CANCELED! Forecast is calling for 3-7 inches of snow tonight, the sinus plague is going around, and it's just damn cold. See you in March!

"No talks. One paper per month, no obligation to read it."

This month's paper is Image Mining of Historical Manuscripts to Establish Provenance by Hu 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.

Website
Thursday
Mar 13, 2014
PDX Big Data Discussion Group
Rogue Hall

"No talks. One paper per month, no obligation to read it."

This month's paper is Image Mining of Historical Manuscripts to Establish Provenance by Hu 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.

Website
Thursday
Apr 10, 2014
PDX Big Data Discussion Group
Rogue Hall

"No talks. One paper per month, no obligation to read it."

This month's paper is Palette Power: Enabling Visual Search through Colors by Bhardwaj 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.

Website
Thursday
May 8, 2014
PDX Big Data Discussion Group
Engine Yard

"No talks. One paper per month, no obligation to read it."

This month's paper is Profiler: Integrated Statistical Analysis and Visualization for Data Quality Assessment by Kandel 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.

Website
Thursday
Jun 12, 2014
PDX Big Data Discussion Group
Urban Airship Inc

"No talks. One paper per month, no obligation to read it."

This month's paper is High-Dimensional Visual Analytics: Interactive Exploration Guided by Pairwise Views of Point Distributions by Wilkinson 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.

Website
Thursday
Jul 10, 2014
PDX Big Data Discussion Group
Periscopic

"No talks. One paper per month, no obligation to read it."

This month's paper is Mondrian Forests: Efficient Online Random Forests by Lakshminarayanan 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.

Website
Thursday
Sep 4, 2014
PDX Big Data Discussion Group
Jive Software

"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 Dynamo: Amazon’s Highly Available Key-value Store by DeCandia 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.

Website
Thursday
Oct 9, 2014
PDX Big Data Discussion Group
Upsight

"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 A Crowd of Your Own: Crowdsourcing for On-Demand Personalization by Organisciak 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.

Website
Wednesday
Nov 5, 2014
PDX Big Data Discussion Group
Urban Airship Inc

"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 Beyond Clicks: Dwell Time for Personalization by Yi 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.

Website
Wednesday
Dec 3, 2014
PDX Big Data Discussion Group
Urban Airship Inc

"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 Materialization Strategies in a Column-Oriented DBMS by Abadi 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.

Website
Wednesday
Jan 7, 2015
PDX Big Data Discussion Group
Yieldbot

"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 Large-Scale High-Precision Topic Modeling on Twitter by Yang 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.

Website
Thursday
Feb 5, 2015
PDX Big Data Discussion Group
New Relic

"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 Visual Analysis of Large Heterogeneous Social Networks by Semantic and Structural Abstraction by Shen 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.

Website
Thursday
Apr 9, 2015
PDX Big Data Discussion Group
BigTable

"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 Geotagging One Hundred Million Twitter Accounts with Total Variation Minimization by Compton 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 food.

Website
Thursday
May 14, 2015
PDX Big Data Discussion Group
Simple

"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 Feature Selection For High-Dimensional Clustering by Wasserman, Azizyan, and Singh. 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.

Website