Archive for the Big Data category

Vijay Srinivas Agneeswaran
Vijay Srinivas Agneeswaran

Google Spanner: Beginning of the End of the NoSQL World?

Big Data, Databases No Comment

Google has recently announced that its flagship wide-area database named Spanner has been made available on the Google Cloud. Google Spanner is the next generation globally-distributed database built inside Google and announced to the world through the paper published in OSDI 2012 [1]. This article explores the implication of Google Spanner, in particular to the […]

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Jignesh Patel
Jignesh Patel

The data chatbots are coming

Big Data, data exploration, Databots

The big data era (now more than a decade old) ushered in dramatic shift in mentality whereby enterprises increased their appetite for making “data-driven” decisions. To a large extent, most enterprises have gotten very good at collecting data. Now, the next big challenge is to unlock non-trivial insights that are hidden in that data. There […]

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Felix Naumann
Felix Naumann

Reflections of a Data Skeptic

Big Data

In the 21st century, our everyday lives are shaped by what machines tell us to do. Big data and their application to economy, policy, and our social life act as behavioral equalizers. And this they do under the assumption of optimization in both subtle and open ways. In fact, they are pushing individuals into uniform […]

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Letizia Tanca
Letizia Tanca

Wisdom: a “double V” for Big Data

Analytics, Big Data, data exploration

Some months ago, I found an exciting piece of news on the Web: a top manager proclaimed [1]: “If the most important thing you offer is data, you are in trouble. (….) Algorithms is where the real value lies. Algorithms define action.” How interesting! It seems to suggest that everybody, including computer scientists and in […]

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Serge Abiteboul and Julia Stoyanovich
Serge Abiteboul and Julia Stoyanovich

Data, Responsibly

Big Data

(This blog post is an extended version of an October 12, 2015 Le Monde op-ed article (in French)) Our society is increasingly relying on algorithms in all aspects of its operation. We trust algorithms not only to help carry out routine tasks, such as accounting and automatic manufacturing, but also to make decisions on our […]

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