Methodologies toImprove bigData Projects - Home

Working to improve the process and methodologies teams use to do big data science projects

OVERVIEW

The domain midp.info currently has an average traffic ranking of zero (the lower the superior). We have examined three pages within the domain midp.info and found one website associating themselves with midp.info.
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3
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1

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LINKS TO DOMAIN

Alexandros Labrinidis -- Home Page

Associate Professor, Department of Computer Science. Co-Director, Advanced Data Management Technologies Laboratory. Adjunct Associate Professor, Computer Science Department. Big Data and Its Technical Challenges. In Communications of the ACM. Companion web site at db. Center for Causal Discovery of Biomedical Knowledge from Big Data. Data Management and Visualization in Petascale Turbulent Combustion Simulation.

WHAT DOES MIDP.INFO LOOK LIKE?

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MIDP.INFO SERVER

We discovered that a lone page on midp.info took one thousand three hundred and twelve milliseconds to load. We could not discover a SSL certificate, so therefore our crawlers consider this site not secure.
Load time
1.312 secs
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Internet Protocol
199.34.228.59

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SERVER OS

We discovered that this website is employing the Apache server.

HTML TITLE

Methodologies toImprove bigData Projects - Home

DESCRIPTION

Working to improve the process and methodologies teams use to do big data science projects

PARSED CONTENT

The domain midp.info states the following, "Methodologies to Improve big Data Projects." We observed that the website also said " As data continues to be produced in massive amounts, with increasing volume, velocity and variety, Big Data projects are growing in frequency and importance." It also stated " However, the growth in the use of Big Data has outstripped the knowledge of how to support teams that need to do big data projects. Join other researchers and industry experts to help improve our collective knowledge on how to best execute big data science projects! IEEE Big Data 2016." The header had Big Data as the highest ranking keyword. This keyword was followed by Data Science, Methodology, and Frameworks which isn't as urgent as Big Data.

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