Beautiful Data Blogging about big data, visualization and new market research

Blogging about big data, visualization and new market research

OVERVIEW

The site beautifuldata.net presently has an average traffic ranking of zero (the smaller the more traffic). We have downloaded twenty-two pages within the web site beautifuldata.net and found one hundred and eighty-two websites linking to beautifuldata.net. There are two contacts and locations for beautifuldata.net to help you connect with them. There are four public network sites belong to this website. The site beautifuldata.net has been online for six hundred and fifty weeks, seventeen days, eight hours, and fifty-two minutes.
Pages Parsed
22
Links to this site
182
Contacts
2
Addresses
2
Social Links
4
Online Since
Jan 2012

BEAUTIFULDATA.NET TRAFFIC

The site beautifuldata.net is seeing diverging amounts of traffic throughout the the year.
Traffic for beautifuldata.net

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BEAUTIFULDATA.NET HISTORY

The site beautifuldata.net was first documented on January 15, 2012. It will go back on the market on the date of January 15, 2015. As of today, it is six hundred and fifty weeks, seventeen days, eight hours, and fifty-two minutes old.
REGISTERED
January
2012
EXPIRED
January
2015

AGE

12
YEARS
5
MONTHS
18
DAYS

LINKS TO BEAUTIFULDATA.NET

Data Dan Sandler

Professional data guy, amateur data scientist. Friday, June 27, 2014. The world of Information Management is changing, and Big Data is introducing new challenges into an already complex environment. The following picture and this related article. Monday, April 21, 2014. Thursday, February 13, 2014. For organizations that are charting a course to Big Data.

The worlds leading software development platform GitHub

Please note that GitHub no longer supports your web browser. We recommend upgrading to the latest Google Chrome. GitHub is a development platform inspired by the way you work. You can host and review code, manage projects, and build software alongside millions of other developers. Use at least one letter, one numeral, and seven characters.

Hearing the Oracle Musings on the database, industry trends, and SQL

Musings on the database, industry trends, and SQL. GGPLOT Graphics for NFL Stats. GGPLOT2 is a package developed for producing graphics within the R statistical tool.

Joerg Blumtritt Industrial Blockchain

He co-founded the companies Datarella. Based in Munich, Germany, and Baltic Data Science. Datarella develops data-driven products and applications based on the the blockchain, BDS delivers data-science-as-a-service. As political activist and researcher, Joerg works on projects regarding future democratic participation, open source IoT, and data ethics. Thinking of fan experiences an.

WHAT DOES BEAUTIFULDATA.NET LOOK LIKE?

Desktop Screenshot of beautifuldata.net Mobile Screenshot of beautifuldata.net Tablet Screenshot of beautifuldata.net

CONTACTS

Benedikt Koehler

Kreuzweg 4

Stockdorf, 82131

DE

Neue Medien Muennich GmbH

Werner Kaltofen

Hauptstr. 68

Friedersdorf, 02742

DE

BEAUTIFULDATA.NET SERVER

We revealed that a single page on beautifuldata.net took one thousand four hundred and eight milliseconds to stream. We could not detect a SSL certificate, so therefore I consider this site not secure.
Load time
1.408 sec
SSL
NOT SECURE
IP
85.13.154.139

NAME SERVERS

ns5.kasserver.com
ns6.kasserver.com

FAVICON

SERVER SOFTWARE

We detected that beautifuldata.net is utilizing the Apache operating system.

SITE TITLE

Beautiful Data Blogging about big data, visualization and new market research

DESCRIPTION

Blogging about big data, visualization and new market research

PARSED CONTENT

The site has the following on the site, "Blogging about big data, visualization and new market research." I noticed that the web site also said " A risk is defined as the probability of an undesirable event to take place." They also stated " Since most risks are not totally random but rather dependent of a range of influences, we try to quantify a risk function, that gives the probability for each set of influences. We then calculate the expected. By multiplying the costs that are caused by the occurrence of this event with the risk, i. In the IoT the world of co."

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