Weekly Big Data Catch-Up

*|MC:SUBJECT|*

Dataconomy » Weekly Newsletter

Big Data News, Events, and Expert Opinion

Excerpts:

Hadoop Market Expected to Grow 25x by 2020

4929686797_cf3a58f2f1_bAccording to a new report by Allied Market Research, the global market for Hadoop along with related hardware, software and services is expected to grow at a compound annual growth rate of 58.2 percent between 2013 and 2020. In 2013, the global Hadoop market accounted for approximately $2 billion in revenues and is estimated to increase by $48.2 billion over the next 7 years. According to the report, “huge expansion in raw structured and unstructured data and increasing demand for Big Data analytics act as the major driving factors for global Hadoop market as it provides cost effective and faster data processing of Big Data analytics over conventional data analysis tools such as Relational Database Management Systems (RDBMS).” The report divided the Hadoop market into three segments: software, hardware and…

The post Hadoop Market Expected to Grow 25x by 2020 appeared first on Dataconomy.


Read on »

Top 10 Capabilities for Exploring Complex Relationships in Data for Scientific Discovery

5097547405_6701529706_bWith all of the discussion about Big Data these days, there is frequest reference to the 3 V’s that represent the top big data challenges: Volume, Velocity, and Variety. These 3 V’s generally refer to the size of the dataset (Volume), the rate at which data is flowing into (or out of) your systems (Velocity), and the complexity (dimensionality) of the data (Variety).  Most practitioners agree that big data volume is indeed huge, but that is not necessarily big data’s biggest challenge, at least not in terms of data storage capacities, which are growing rapidly also and keeping pace with data volume.  The velocity of big data is also a very big challenge, though primarily for applications and use cases that specifically demand near-real-time analysis and response to dynamic data streams. …

The post Top 10 Capabilities for Exploring Complex Relationships in Data for Scientific Discovery appeared first on Dataconomy.


Read on »

IBM Branches Out Into Condiments

13252139975_f08e723c54_zReaders of our site are now well aware of big data’s implications on everything from political elections to forecasting movie success. Nevertheless, we’ve also discussed the limitations of big data – the more “human” capacities such as the nuanced reading of texts that a computer may never adequately understand or model in a meaningful way. But IBM’s Watson, the powerful cognitive technology that processes information more like a human than a computer, is pushing the boundaries of what a machine can accomplish given the right programming — by creating its first ever barbeque sauce. After implementing an algorithm meant to test Watson’s capacity for creativity, it spat out a recipe mixing white wine, butternut squash, tamarind, and Thai chilies. Although Watson’s first foray into condiments, one of it’s first testers described it as…

The post IBM Branches Out Into Condiments appeared first on Dataconomy.


Read on »

Google Using Machine Learning to Boost Efficiency in Data Centres

Google Using Machine Learning to Improve Efficiency in Data CentresNot content with owning some of the most efficient data centres on the planet, Google are now using machine learning to gain a greater understanding of their server farms. At the Data Centres Europe conference, Google’s Joe Kava detailed how they were using neural networks to sift through the immense amounts of information harvested from their data centres, and make recommendations to improve efficiency. In short, Google have created artificial intelligence that knows more about Google’s server farms than the humans who run it. “In a dynamic environment like a data center, it can be difficult for humans to see how all of the variables interact with each other,” Kava stated. “We’ve been at this (data center optimization) for a long time. All of the obvious best practices have already…

The post Google Using Machine Learning to Boost Efficiency in Data Centres appeared first on Dataconomy.


Read on »

Another University Adds Big Data To Their Syllabus

12438649785_80a362a0d7_zOn Monday, the Technical University of Denmark announced the details of its new specialist programme in Data Science (Big Data). From as early as autumn semester, DTU will be offering the course to students, where they will build interdisciplinary skills across the entire Big Data value chain — data collection, data storage, data analysis, visualization, data security and privacy, and data application. Marianne Thellersen, DTU’s Senior Vice President Innovation and Entrepreneurship, said, “As an elite university, we consider it important to accommodate the increasing demands from the labour market for skilled graduates adept at working with—and generating value from—Big Data. We are therefore delighted that, in partnership with the business community, we are now in a position to provide a completely new programme profile to students keen to build up…

The post Another University Adds Big Data To Their Syllabus appeared first on Dataconomy.


Read on »

Google’s Self-Driving Cars Expected in 2017

Google PrototypeGoogle’s forward-thinking and experimental Google X division has been working on self-driving cars for some time. However, at a conference in California yesterday, Sergey Brin announced that Google will start building its own self-driving cars rather than modifying vehicles built by other manufacturers. “We’re really excited about this vehicle – it’s something that will allow us to really push the capabilities of self driving technology, and understand the limitations,” said Chris Urmson, director of the company’s self-driving project. Google’s prototype car is nothing short of revolutionary. Contrary to the mechanics of conventional cars, Google’s car has no steering wheel or pedals; it replaces glass windows with plastic ones; has two feet of foam at the front to ensure safety; and does not have any controls apart from a stop/go button.…

The post Google’s Self-Driving Cars Expected in 2017 appeared first on Dataconomy.


Read on »

Klaas Bollhoefer from The unbelievable Machine Company talks with Dataconomy

KlaasWe met up with Klaas Bollhoefer in Berlin. Klaas works as a Data Scientist & Big Data Evangelist with The unbelievable Machine Company GmbH. He is father of the Data Science Day (DSDay), coordinator of the Big Data Week 2013 in Berlin, member of several program committees for Big Data / Data Science conferences in Europe, author & speaker. Before that he worked as a freelance creative consultant, scrum master & manager, director user experience and as a senior IT project manager for well-known internet agencies. Side projects include: lecturer at several universities (in Berlin, Cologne, Siegen) on agile project management, creative leadership & social data. Klaas is interested in punk music, brilliant ideas, world travels and silence.…

The post Klaas Bollhoefer from The unbelievable Machine Company talks with Dataconomy appeared first on Dataconomy.


Read on »

Big Data’s Potential For Abuse

5295516326_a974605eb1_zHow many of you have watched the movie Fight Club?  If you haven’t, I strongly recommend you do.  It’s a movie worth watching, replete with violence, ennui, and a lament for the narcissistic failings of the baby boomers.  Anyways, there’s a scene in the beginning of the movie where Edward Norton talks about how crappy his job is.  He has to assess the risk associated with car accidents for an insurance company using actuarial data.  His job is to figure out whether a recall is the right decision for an auto manufacturer to make – from a financial perspective.  Let’s assume that there is a brake problem that will result in a financial liability associated with wrongful death.  Using actuarial tables, he puts a number to the total financial exposure…

The post Big Data’s Potential For Abuse appeared first on Dataconomy.


Read on »

Copyright © *|CURRENT_YEAR|* *|LIST:COMPANY|*, All rights reserved.
*|IFNOT:ARCHIVE_PAGE|* *|LIST:DESCRIPTION|*

Our mailing address is:
*|HTML:LIST_ADDRESS_HTML|* *|END:IF|*

unsubscribe from this list    update subscription preferences