Sentences with phrase «of big data projects»

Job Title: Hadoop Architect Location: St Louis, MO Job Type: Fulltime JOB SUMMARY Responsible for design, development and implementation of Big Data Projects such as Viewership Data Lake.

That means the IoT is a significant driver of big data projects because it allows companies to create vast data sets and analyse them.

A survey conducted last year by IDC found that 53 % of large Canadian organizations said lack of talent was the biggest impediment to successful completion of big data projects.

Not exact matches

Michel shared that customers rarely ask for Big Data reporting at the beginning of a project, but they always want it at the end.

His latest project, The Human Face of Big Data, uses photographs, infographics, and even an app to attempt to both tell the story of how we use this astonishing glut of data and, for one day — October 2nd — take the temperature of humanData, uses photographs, infographics, and even an app to attempt to both tell the story of how we use this astonishing glut of data and, for one day — October 2nd — take the temperature of humandata and, for one day — October 2nd — take the temperature of humanity.

1 is 1 project, to become the digitalization assistant for all industries; 3 is the three roles of connector, toolbox and ecosystem builder; 5 is the five remits of civic services, consumption, manufacturing services, health and environmental protection; and 7 refers to the seven tools of public accounts, mini programs, mobile payments, social media advertising, safety capabilities and something referred to as big - smart - cloud: big data, AI capabilities and cloud computing.

July was the biggest month for coin offerings, with 34 projects raising $ 665 million, Tokendata.io data shows — or twice as much money as was raised in the first five months of the year combined.

-- Types of fintech projects offered by banks: cybersecurity, distributed ledger technology, big data analytics, artificial intelligence, biometric authentication, mobile app development etc..

With this site, New York State is also pioneering the use of big data and social networking technologies to create transparency around building energy efficiency, drive innovation, and accelerate projects.

I chose it because it's a big - picture project, a collaboration between public health officials, scientists, and doctors with the shared goal of providing data - driven advice to policymakers.

Tech companies — Facebook, Google and IBM, to name a few — are quick to tout the world - changing powers of «big data» gleaned from mobile devices, Web searches, citizen science projects and sensor networks.

It's a constellation of different partners,» explained Alan Smeaton, a computing professor at Dublin City University who led the big data project submission.

How does one choose to take on a project that will take a big chunk of a career to start yielding data?

«Our motivation was to take on this task, pushed by the greater availability of «big data» in various governmental and private organizations — such as the U.S. Social Security Administration, Gallup, and the Google Books Library project — as well as recent advances in forecasting methods,» says Grossmann.

The new BigStorage project, funded by the European Union, will thus develop new approaches to deal with Big Data concepts over the next three years, from theoretical basic research to the development of complex infrastructures and software packages.

Through its Exacycle project, Google has lent some of its considerable computing muscle to a half - dozen big data problems being tackled in academia.

One of the project's biggest challenges will be coping with the volume of data the telescope will produce, far too much to be processed by human beings.

With short - lived animals, «you can walk away froma project within three or four years, and you've got a lot of data, andyou can make a big impression on your colleagues,» says RonaldNussbaum, a zoologist at the University of Michigan.

The project will also demonstrate its competence in emerging application areas with highly demanding requirements requiring cloud and Big Data technologies such as machine - to - machine, Internet of Things and smart * (smart grid, smart cities, smart transport, etc.) and other more traditional areas such as online applications, multimedia applications, or distributed games demanding Big Data support to go beyond their current functionalities.

This project is part of a coalition of NSF principal investigators to address the problems of big data for migration of public health emergencies.

This project, entitled «Use of Big Health and Actuarial Data for Understanding Longevity and Morbidity Risks,» was one of three winning proposals, and will become part of the core of IFoA's newly expanded Actuarial Research Centre.

According to Susan Wolfinbarger, project director of the Geospatial Technologies Project, the grant will allow them to look at geospatial information more broadly, using other tools such as geotagged social - media information, big data, and recently developed open sourceproject director of the Geospatial Technologies Project, the grant will allow them to look at geospatial information more broadly, using other tools such as geotagged social - media information, big data, and recently developed open sourceProject, the grant will allow them to look at geospatial information more broadly, using other tools such as geotagged social - media information, big data, and recently developed open source tools.

In an interview with CNN, Kulinskaya emphasized the Big Data nature of the project, noting that it was collected over a long period of time and is completely anonymous.

In his closing remarks, BTI President David Stern noted the high quality of the research projects and the large number of posters and talks describing research that used Big Data — large and complex data sets that require computer programs to fully analData — large and complex data sets that require computer programs to fully analdata sets that require computer programs to fully analyze.

For scientists like Han Liang, Ph.D., associate professor and deputy chair of Bioinformatics and Computational Biology, the Human Genome Project ignited a passion for big data that continues to this day.

One landmark example is the major effort to tackle common challenges in the era of big data: the Helix Nebula project, for instance, brought together three EIROforum partners — CERN, ESA and EMBL — along with private data service providers to deliver cloud computing services for science.

It's a «big data» project that is yielding terabytes of information on physiological markers of health including cardiac function, metabolism, bone density, body composition, activity and blood pressure, among others.

A big thank you to all of the SciLifeLab facility staff who met at our Facility Forum today to discuss important topics such as data management, teamwork and project models.

Examples of science projects enabled by the data in the High - Latitude Survey include: mapping the formation of cosmic structure in the first billion years after the Big Bang via the detection and characterization of over 10,000 galaxies at z > 8; finding over 2,000 QSOs at z > 7; quantifying the distribution of dark matter on intermediate and large scales through lensing in clusters and in the field; identifying the most extreme star - forming galaxies and shock - dominated systems at 1 < z < 2; carrying out a complete census of star - forming galaxies and the faint end of the QSO luminosity function at z ~ 2, including their contribution to the ionizing radiation; and determining the kinematics of stellar streams in the Local Group through proper motions.

The Celeste project is at the cutting edge of scientific big data analysis along multiple fronts, added Prabhat, NERSC Data and Analytics Services Group Lead and principal investigator for the MANTISSA projdata analysis along multiple fronts, added Prabhat, NERSC Data and Analytics Services Group Lead and principal investigator for the MANTISSA projData and Analytics Services Group Lead and principal investigator for the MANTISSA project.

She serves as a patient representative of the Patient Engagement Advisory Panel for the Patient Centered Outcomes Research Institute (PCORI) and sits on both the Executive and Steering committees of PCORnet, a national patient - centered big - data project.

In 2008, the Strategic Data Project (SDP)-- a project within the Harvard Graduate School of Education — based Center for Education Policy Research (CEPR) at Harvard University — began as a pilot program with two partners and big dreams to create a network of data strategists working in schools, agencies, and nonprofits across the counData Project (SDP)-- a project within the Harvard Graduate School of Education — based Center for Education Policy Research (CEPR) at Harvard University — began as a pilot program with two partners and big dreams to create a network of data strategists working in schools, agencies, and nonprofits across the cProject (SDP)-- a project within the Harvard Graduate School of Education — based Center for Education Policy Research (CEPR) at Harvard University — began as a pilot program with two partners and big dreams to create a network of data strategists working in schools, agencies, and nonprofits across the cproject within the Harvard Graduate School of Education — based Center for Education Policy Research (CEPR) at Harvard University — began as a pilot program with two partners and big dreams to create a network of data strategists working in schools, agencies, and nonprofits across the coundata strategists working in schools, agencies, and nonprofits across the country.

Senior Lecturer Rick Weissbourd, co-director of the Making Caring Common Project, outlines a new way for schools to examine their culture and environment through the power of big data.

The mixed - methods study included feedback forms from Big Read events, surveys of participants and grantees, reviews of grantee reports required by the project, and tabular data on attendance, circulation, and partnerships from Arts Midwest.

This finding, which challenges long - term assumptions about college drop - outs, was only possible because of a research project using Big Data analysis.

I realize that this is the infancy of this project, however, to truly help up and coming authors, expanding the data out to a big pool would be beneficial.

Through 142 photographs with accompanying data, the project exposed the properties and transactions of one of the biggest real estate holders in New York, primarily concentrated in the Lower East Side and Harlem.

As part of London project space Banner Repeater's Snow Crash program, run throughout June and July and taking its title from the 1992 science fiction novel by Neal Stephenson of the same name, the exhibition reflects the overwhelming idea of Big Data through a space brimming with information.

And many projects examine the connections between race, gender, and aesthetics, such as Jared Sexton «s project about racial politics of monochrome painting, and Shaka McGlotten «s book on artists» responses to surveillance and big data.

I expect access and parsing of the existing data to be the biggest hurdle impeding success of this project.

«In the CMDV project, we have a big observational team familiar with ARM data working with a team of global modelers.»

The biggest mistake of the establishment was to ignore the longer term cycles and to project forward several decades of data linearly when we are obviously approaching, at or just past a peak in a millennial cycle.

On the following pages of this slide show, you'll see more gorgeous photos from The Nature Conservancy, and learn how the project combines big data with free - market tools to help birds.

In complex, large - scale litigation and regulatory investigations, the level of electronic information is too big to by hand sort, organize and review (also known as objective coders, database coders, legal coders, or litigation coders) review and code documents, files along with other data so the litigation team can easier search and retrieve information throughout the situation or project.

The Big Data for Law project will provide new open data, new tools and new research methodologies for the study of current legislatData for Law project will provide new open data, new tools and new research methodologies for the study of current legislatdata, new tools and new research methodologies for the study of current legislation.

LexPredict is a US based legal research, analytics and Big Data company that undertakes various projects such as FantasyScotus, a fantasy league that predicts the outcome of SCOTUS decisions using human experts and algorithms that forecast cases using dData company that undertakes various projects such as FantasyScotus, a fantasy league that predicts the outcome of SCOTUS decisions using human experts and algorithms that forecast cases using datadata.

Over the years, the company has refined its foundations of the big data softest, however, all of its work is custom projects for clients that require a lot of consulting and advising.

It's part of Project Maven, aka, Algorithmic Warfare Cross-Functional Team (AWCFT)(PDF), a Pentagon - driven project started last April to make use of big data and machine learning tech to advance the DoD's capabilities in theProject Maven, aka, Algorithmic Warfare Cross-Functional Team (AWCFT)(PDF), a Pentagon - driven project started last April to make use of big data and machine learning tech to advance the DoD's capabilities in theproject started last April to make use of big data and machine learning tech to advance the DoD's capabilities in the field.

This ability to monetize unproductive assets, is a huge selling point for big data, said Paul Speciale, VP of products at Amplidata, the object storage company that worked with the festival on that project.

In this week's episode of the Structure Show, Derrick Harris recounts his big data adventures at a Chicago data mining show and Microsoft's (s msft) latest open - source project.