Big Data

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MongoDB 2.0 Should Have Been 1.0. No open source project has received more criticism in recent years than MongoDB.

MongoDB 2.0 Should Have Been 1.0

Most of the flak has revolved around technical implementation decisions made for the project, and perceptions of how the company behind MongoDB, 10gen, has used advantages gained from those design decisions in marketing their product. It seems that more blog posts have been written on why one should not use MongoDB than on why one should use it. In a now-404ed July 2010 entry (mirror), Mikael Rogers, at the time an employee of the company behind CouchDB, wrote a highly-trafficked critique of MongoDB’s asynchronous writes and lack of single-server durability.

Deadline Extended: Data Engineering Meets the Semantic Web (DESWEB2012) from Parreira, Josiane on 2011-10-31 (semantic-web from October 2011) An Open Data Ecosystem. Rufus Pollock recently shared his thoughts on scaling what he sees as the current open data ecosystem.

An Open Data Ecosystem

He writes, “The last several decades the world has seen an explosion of digital technologies which have the potential to transform the way knowledge is disseminated. This world is rapidly evolving and one of its more striking possibilities is the creation of an open data ecosystem in which information is freely used, extended and built on. The resulting open data ‘commons’ is valuable in and of itself, but also, and perhaps even more importantly, because the social and commercial benefits it generates — whether in helping us to understand climate change; speeding the development of life-saving drugs; or improving governance and public services.” Are you ready for the era of ‘big data’? - McKinsey Quarterly - Strategy - Innovation.

The top marketing executive at a sizable US retailer recently found herself perplexed by the sales reports she was getting.

Are you ready for the era of ‘big data’? - McKinsey Quarterly - Strategy - Innovation

A major competitor was steadily gaining market share across a range of profitable segments. Despite a counterpunch that combined online promotions with merchandizing improvements, her company kept losing ground. When the executive convened a group of senior leaders to dig into the competitor’s practices, they found that the challenge ran deeper than they had imagined. Strata NY 2011 [Data Visualizations] - The Subjectivity of Fact. This post was written by Mimi Rojanasakul.

Strata NY 2011 [Data Visualizations] - The Subjectivity of Fact

She is an artist and designer based in New York, currently pursuing her MFA in Communications Design at Pratt Institute. Say hello or follow her @mimiosity. Last but not least, here's a round-up of talks that were focused on data visualization at Strata. Most of the presentations covered the standard do's and don'ts, parading humorously incomprehensible examples around of those who would forget to label their axis, or use a pie chart to show change over time.