Author Archives: dmassart

Data Integration, Part 1: Actions & Facts

We have already presented the facetted mechanism that allows us to describe resources by encapsulating in a precisely-defined manner all the information necessary to describe a specific aspect of these resources so that this information can be easily consumed and … Continue reading

Posted in Data Modeling | Tagged , , , , , | Leave a comment

2nd “t.m.i.” Meetup: Going In-Depth on Aggregating Data

We are glad to announce that the “t.m.i.” group will meet for the 2nd time on Thursday February 12 at 6:15pm at the Workshop Cafe, 180 Montgomery Street, San Francisco. We will hear and then discuss the following presentations: Joe … Continue reading

Posted in Uncategorized | Leave a comment

Inside MongoDB SF 2014

Earlier this month, I attended MongoDB SF, the last stop of the MongoDB Days 2014 tour. Usually, I am reluctant to attend vendor-organized conferences because they tend to be more marketing opportunities than venues for gaining in depth understanding of … Continue reading

Posted in Database | Tagged , , , | Leave a comment

Reviewing Silk (http://silk.co/)

I attended a meetup presentation of Silk two weeks ago and decided to give it a try. For the last couple of months, I’ve been working on a data project consisting of setting up a workflow for collecting and integrating … Continue reading

Posted in Data Visualization | Tagged , , , , | Leave a comment

Information Management in a Big Data World

Big Data technology consists of a set of tools and techniques used to handle data when the amount of this data, its (lack of) structure and/or the speed at which it needs to be processed exceed the (scaling-up) capacity of … Continue reading

Posted in Meetup | Tagged , , , , , | Leave a comment

Reviewing OpenRefine

I have been using OpenRefine extensively in a few projects during the last 12 months and I am now in one of these typical hate-love relationships with it. OpenRefine (formerly Google Refine) is an “open source tool for cleaning and … Continue reading

Posted in Data Cleaning | Tagged , , , , | Leave a comment