Department of Defense has dished out $3 million for Python big data analytics libraries from a $100 million fund for big data research and development.
Military Drones Present And Future: Visual Tour
(click image for larger view and for slideshow)
The Defense Advanced Research Projects Agency, which is spending $100 million over four years to advance big data technologies, recently awarded $3 million to develop data analytics and data processing libraries for popular computer programming language Python.
The funding, awarded to data visualization and analytics company Continuum Analytics, will go toward the development of a scientific computing library for Python called Blaze and a visualization system called Bokeh, Continuum announced in a blog post.
The funding, which was awarded in December, comes as part of XDATA, a $100 million DARPA research and development project that aims to "develop computational techniques and software tools for processing and analyzing the vast amount of mission-oriented information for Defense activities." XDATA, in turn, is but one piece of larger big data efforts by the Department of Defense and the federal government.
According to Continuum, Blaze will be "designed to handle out-of-core computations on large data sets that exceed the system memory capacity, as well as on distributed and streaming data."
Bokeh, meanwhile, is a Python library for big data visualization, what Continuum terms a "scalable, interactive and easy-to-use visualization system" for big data sets. Bokeh will integrate numerous visualization approaches, according to Continuum, including the Stencil visualization model and Grammar of Graphics.
A number of other big data efforts have also been recipients of DARPA's largesse.
In November, data visualization and processing software company Kitware announced a $4 million award to work with software company KnowledgeVis and universities on an open source data aggregation, querying and visualization toolkit called the Visualization Design Environment.
Then, in December, Georgia Institute of Technology announced that it had received a $2.7 million award to work on scalable machine-learning technologies and distributed computing architectures to rapidly process data analytics algorithms, and Scientific Systems Company, Inc., won an undisclosed amount of funding for new machine learning software.
Last month, database developer and software consultancy SYSTAP won $2 million as part of XDATA to build an open source graph analytics platform for use with GPU compute clusters.
The Agile ArchiveWhen it comes to managing data, donít look at backup and archiving systems as burdens and cost centers. A well-designed archive can enhance data protection and restores, ease search and e-discovery efforts, and save money by intelligently moving data from expensive primary storage systems.
2014 Analytics, BI, and Information Management SurveyITís tried for years to simplify data analytics and business intelligence efforts. Have visual analysis tools and Hadoop and NoSQL databases helped? Respondents to our 2014 InformationWeek Analytics, Business Intelligence, and Information Management Survey have a mixed outlook.
InformationWeek Tech Digest August 03, 2015The networking industry agrees that software-defined networking is the way of the future. So where are all the deployments? We take a look at where SDN is being deployed and what's getting in the way of deployments.