Sumo Logic aims to raise $310 million in US IPO

Sumo Logic plans to go public. The company offers log management services, along with analytics for the purpose of management and observability of IT Systems. The offer comes differentiated as a fully managed solution, delivered from the cloud. Now the company apparently plans for an IPO, reports Reuters:

Source: Reuters – Big data firm Sumo Logic aims to raise $310 million in U.S. IPO

Amazon could write books.

Today in dystopian news: Amazon, the book selling department, controlling about 40% of the US book market, collects reading habbits from their sales and Kindle. By now the corporation knows enough about it’s customers it could be generating best selling books. Spookey. And potentially game changing, when machines replace creative professions.

Amazon has the ability to track vast amounts of reader data and use it to change the landscape of American fiction.

Source: Amazon has so much data it could make algorithm-driven fiction — Quartz

The terrifying, hidden reality of Ridiculously Complicated Algorithms

Leseempfehlung: Ein Journalist spricht mit einem anonymen Big Data Engineer/Analyst über die Komplexität von Algorithmen. Wie erschreckend die Abhängigkeit von undurchschaubaren Komponenten geworden ist gegenüber dem Einfluss den Maschinen damit auf unser Leben haben.

Man kann das auch als Laie verstehen, wie ich meine, selbst mein Verständnis von Big Data reicht nur so weit als das als realistisch einzuschätzen.

‘I’ll lose my job if anyone knows about this.”There was a long silence which I didn’t dare to break. I had begged to make this meeting happen. And now the person I had long been trying to meet leaned towards me. “Someone is going to go through your book line by line,” he said, “to try to work out who I am.”He’d been a talented researcher, an academic, until his friend started a small technology company. He had joined the company and helped it to grow. It eventually became so big that the company had been acquired by one of the tech giants. And so, then, was he.He was now paid a fortune to help design the algorithms that were central to what the tech giant did. And he had signed solemn legal documents prohibiting him from speaking to me, or to anyone, about his work. But as the…

Source: The terrifying, hidden reality of Ridiculously Complicated Algorithms

Economics Has a Math Problem

The field begins to look like others that rely on data.

This is a discussion I had more than a decade back with economy students, as a student of computer science. The argument was much the same and nothing much has changed in the meantime. The difference is more data is available today and can be used much easier, though, which is to Noah Smiths argument.

via: Economics Has a Math Problem – Bloomberg View

Not so big data.

Chris Stucchio hat einen interessanten Punkt bzgl. Big Data. Nämlich, dass Big Data heißt gar nicht Big ist. Nur weil Excel einen Datensatz nicht öffnen kann, heisst das nicht automatisch, dass Big Data Tools – in seinem Aufsatz Hadoop – notwendig sind. Gigabyteweise Daten lassen sich auch anders verarbeiten. Moderne Hardware hat nicht selten mehrere GB an Hauptspeicher. Die Geräte bei Mediamarkt waren vergangenen Samstag alleine mit mindestens 8Gb ausgestattet. Das heisst natürlich nicht, dass Hadoop oder vergleichbare Tools gar keinen Anwendungsfall hätten, aber die Use-Cases sind vielleicht anders gelagert, als man auf den ersten Gedanken annimmt.

Quelle: Dont use Hadoop – your data isnt that big – Chris Stucchio