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Primeur weekly 2013-10-14

Special

Big Data analytics: a complex story of disruptive hype countered with converging technologies ...

Big Data forcing enterprises to look into the direction of HPC solutions ...

River no longer too deep between HPC and data intensive computing ...

HPC is HPC, and enterprise is enterprise, and never the twain shall meet? Can Big Data be the catalyst? ...

High Performance Data Analysis ecosystem to grow to more than $2 billion by 2016 ...

Focus

2013: Another year on the road to Exascale - An Interview with Thomas Sterling and Satoshi Matsuoka - Part III ...

The Cloud

Contrail project partners to release version R1.3 of the Contrail software ...

Fujitsu begins global packaged sales of "SPATIOWL" location data Cloud service ...

Dynamically managing network bandwidth in a Cloud ...

EuroFlash

The Transinsight Award for Semantic Intelligence goes to the "Wishart" team from the University of Alberta, Canada ...

Final Call for the HPCAC- ISC 2014 Student Cluster Competition Submission ...

CGG slashes development time with Allinea DDT ...

Bull launches GCOS7 V12 for its large mainframes ...

Bull launches Bull Optimal Database Booster, to optimize the performance of Oracle databases running on its Escala servers ...

Adept project: investigating energy efficiency in parallel technologies ...

DataDirect Networks' scalable, high-performance storage powers Wellcome Trust Sanger Institute's worldwide research efforts to reduce global health burden ...

The Human Brain Project has begun ...

Intel and Janssen Pharmaceutica to collaborate with imec and 5 Flemish universities to open ExaScience Life Lab ...

PRACE to showcase the principles of HPC at the European Union Contest for Young Scientists (EUCYS) ...

The 2013 Nobel Prize in Chemistry goes for multiscale models development ...

USFlash

Jack Dongarra receives high honour for supercomputing accomplishments ...

Cray enhances coprocessor and accelerator programming with support for OpenACC 2.0 ...

NCSA joins OpenSFS ...

Juniper Networks enables the discovery of new data insights in IBM Research Accelerated Discovery Lab ...

Louisiana State University researchers awarded nearly $1 million for Big Data research ...

Winchester Systems introduces FlashDisk RAID arrays with iSCSI 10Gb ...

Big Data analytics: a complex story of disruptive hype countered with converging technologies


25 Sep 2013 Heidelberg - Prof. Dr. Felix Wortmann, Assistant Professor for the Institute of Technology Management at the University of St. Gallen and involved in the Bosch Internet of Things Lab, talked about the current status of Big Data at the ISC'13 Big Data Conference, held in Heidelberg, Germany, September 25-26, 2013. Is Big Data just a hype or does it represent a disruptive innovation? Does it mean the end of traditional Business Intelligence (BI)? Prof.Dr. Wortmann convinced the audience that Big Data surpasses today's BI systems' capabilities in volume, velocity and variety. The challenge consists in converging the already existing technology streams to manage Big Data in such a way that data can be transformed into useful information.

In his presentation, Prof.Dr. Wortmann described how Big Data emerged three years ago. From the start, this phenomenon challenged the existing analytical technologies, platforms, applications and processes. Big Data involves challenges in terms of complexity and costs, speed and performance, the integration of unstructured data, and its real time analysis.

On the other hand, dealing with Big Data can push developers to have the current Business Intelligence systems evolve faster. Hardware issues are going through a revolutionary process of optimization in which Big Data is able to leverage the full potential of modern hardware.

The huge amount of unstructured, semi-structured and structured data is forcing us to rethink the efficacy of our current technologies, so it seems.

Prof.Dr. Wortmann explained that Big Data is a category of technologies, applications, and processes for gathering, storing, accessing, and analysing data that goes beyond the capabilities of today's BI systems. The volume has evolved from gigabyte and terabyte to petabyte and exabyte; the velocity from hours and minutes to seconds and milliseconds; and the variety from structured data to semi- and unstructured data.

In Big Data we can see how three specific domains logically have to converge. Here, we are speaking about business intelligence, content intelligence and real time intelligence, according to Prof.Dr. Wortmann. He continued by saying that Big data is not mainstream yet. Innovators like Google have pioneered the fundamental technologies and vendors are now pushing hard to bring these technologies to the Fortune 1.000. Big Data is becoming a strategic initiative.

In terms of variety, Big Data is more than capturing social media or web data. Variety means to systematically broaden and exploit the information base with a clear business case in mind, according to the speaker. Enterprises have to move beyond conventional store and product management.

Often, Big Data is not about generating more raw data but about moving from the average customer segment analysis to the individual level.