Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many fields (columns) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Big data analysis challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy, and data source. Big data was originally associated with three key concepts: volume, variety, and velocity. The analysis of big data presents challenges in sampling, and thus previously allowing for only observations and sampling. Therefore, big data often includes data with sizes that exceed the capacity of traditional software to process within an acceptable time and value.
Current usage of the term big data tends to refer to the use of predictive analytics, user behavior analytics, or certain other advanced data analytics methods that extract value from big data, and seldom to a particular size of data set. "There is little doubt that the quantities of data now available are indeed large, but that's not the most relevant characteristic of this new data ecosystem."
Analysis of data sets can find new correlations to "spot business trends, prevent diseases, combat crime and so on". Scientists, business executives, medical practitioners, advertising and governments alike regularly meet difficulties with large data-sets in areas including Internet searches, fintech, healthcare analytics, geographic information systems, urban informatics, and business informatics. Scientists encounter limitations in e-Science work, including meteorology, genomics, connectomics, complex physics simulations, biology, and environmental research.The size and number of available data sets has grown rapidly as data is collected by devices such as mobile devices, cheap and numerous information-sensing Internet of things devices, aerial (remote sensing), software logs, cameras, microphones, radio-frequency identification (RFID) readers and wireless sensor networks. The world's technological per-capita capacity to store information has roughly doubled every 40 months since the 1980s; as of 2012, every day 2.5 exabytes (2.5×260 bytes) of data are generated. Based on an IDC report prediction, the global data volume was predicted to grow exponentially from 4.4 zettabytes to 44 zettabytes between 2013 and 2020. By 2025, IDC predicts there will be 163 zettabytes of data. One question for large enterprises is determining who should own big-data initiatives that affect the entire organization.Relational database management systems and desktop statistical software packages used to visualize data often have difficulty processing and analyzing big data. The processing and analysis of big data may require "massively parallel software running on tens, hundreds, or even thousands of servers". What qualifies as "big data" varies depending on the capabilities of those analyzing it and their tools. Furthermore, expanding capabilities make big data a moving target. "For some organizations, facing hundreds of gigabytes of data for the first time may trigger a need to reconsider data management options. For others, it may take tens or hundreds of terabytes before data size becomes a significant consideration."
Would it help to study Verilog (VHDL) or Field-Programmable-Gate-Arrays (FPGA) if self-crafted x64/aarch64-assembly would take too much power/be too slow?
[Mentor Note -- PF thread and MHB threads merged together below due to MHB forum merger with PF]
I have to learn in context of lucene, but firstly, I want to learn the example indexing in general.
Sth like this-:
And I am not getting any google books and pdfs to learn about these topics. I...
What is 1 example of use of distributed system in big data?
Here are the notes in my college curriculum, which I of course understand but it doesn't make clear what is the role of distributed system in big data-...
Here are the notes in my college curriculum, which I of course understand but it doesn't make clear what is the role of distributed system in big data-...
I am learning about 3 V's of big data. I am learning about variety at the moment. They say variety represents variety of formats, data sources and structures. I understand format might be txt, audio, video files etc. Sources might be different sources of data. But what is structures of data?
I am learning about 3 V's of big data. I am learning about variety at the moment. They say variety represents variety of formats, data sources and structures. I understand format might be txt, audio, video files etc. Sources might be different sources of data. But what is structures of data?
I...
I ask this with more of a software background than an engineering background, but here I go anyway.
Big data is arguably the cultural motif or monograph of the information age. Trends involve immersing ourselves in media of various sorts and processing them at exceptional rates. Of course...
For all the astronomers and astrophysicists out there, what are your preferred methods of dealing with large swaths of data? What are your go to programming languages, and software?
I've been following, albeit loosely, the use of big data to refine astronomical data. It has been frequently noted that astronomy is an excellent test ground for big data approaches. I'm led to wonder what kind of results have been achieved to date and how effective are these methods for...
When I opened up the article https://www.wired.com/2017/01/move-coders-physicists-will-soon-rule-silicon-valley/ I expected to see quantum computing as the next field physicists are to revolutionize. I was surprised to see it was data management and machine learning. I am happy for physicists...
Hi, so currently I am stuck in a situation where I currently accepted a job offer and had 5 other interviews which I never heard back from any yet. (I will have to say no if I hear back I guess and there was one I really was hoping to get but its going to be too late now). These were for data...
Hi All,
I am having trouble seeing how Relational Databases (RDBS) can be used in the world of big data.
The inflow of data seems to be way too fast for the database to reflect what is going on at a given
moment. I understand this issue is supposed to be addressed by data warehouses. Is...
I am an undergraduate physics major and I am taking a course on Big Data analytics. For the semester project, our professor has asked up to take up any field that interest us and do a project in that. I want to do something related to quantum mechanics or particle physics. Is that possible at my...
Hi,
I've got a problem. There is over 9 milions points in my .txt. I have to find polynom for surface of this points with deviation smaller then 0.01 (x [-3:3], y[-3,3], z [-9,9]).
I try many functions in Matlab, but no answer.
Thank for help.
B
The Right to "Big Data."
"Troves of Personal Data, Forbidden to Researchers"
The issue is that not every scientist is allowed access to "big data".
Also, as it says in the first quote, there is no way to check on the papers based on exclusive-access "big data". They might well be...