Thanks for the invitation.

What is Big Data? and how do you benefit from Big Data technologies? 'Big data is a term for data sets that are so large or complex that traditional data processing applications are inadequate to deal with them. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, querying, updating and information privacy. The term "big data" often refers simply to the use of predictive analytics, user behavior analytics, or certain other advanced data analytics methods that extract value from 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, practitioners of medicine, advertising and governments alike regularly meet difficulties with large data-sets in areas including Internet search, finance, urban informatics, and business informatics. Scientists encounter limitations in e-Science work, including meteorology, genomics, connectomics, complex physics simulations, biology and environmental research.

Relational database management systems and desktop statistics- and visualization-packages often have difficulty handling big data. The work may require massively parallel software running on tens, hundreds, or even thousands of servers. What counts as big data varies depending on the capabilities of the users and their tools, and 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.' (https://en.wikipedia.org/wiki/Big_data)

How do you see the future of Big Data in your field of research? I believe that big data will find new applications in my fields of research (plant science, agricultural meteorology, bioclimatology) and that, their handling will be improved.

Regards

https://en.wikipedia.org/wiki/Big_data

Big Data has a different definition as technology evolves.

Now when we speak for 'big' we mean more than a 1GB of raw data.

But after some years maybe that will be a naive and small approximation.

As for the future, we'll see...

Thanks for the invitation.

What is Big Data? and how do you benefit from Big Data technologies? 'Big data is a term for data sets that are so large or complex that traditional data processing applications are inadequate to deal with them. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, querying, updating and information privacy. The term "big data" often refers simply to the use of predictive analytics, user behavior analytics, or certain other advanced data analytics methods that extract value from 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, practitioners of medicine, advertising and governments alike regularly meet difficulties with large data-sets in areas including Internet search, finance, urban informatics, and business informatics. Scientists encounter limitations in e-Science work, including meteorology, genomics, connectomics, complex physics simulations, biology and environmental research.

Relational database management systems and desktop statistics- and visualization-packages often have difficulty handling big data. The work may require massively parallel software running on tens, hundreds, or even thousands of servers. What counts as big data varies depending on the capabilities of the users and their tools, and 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.' (https://en.wikipedia.org/wiki/Big_data)

How do you see the future of Big Data in your field of research? I believe that big data will find new applications in my fields of research (plant science, agricultural meteorology, bioclimatology) and that, their handling will be improved.

Regards

https://en.wikipedia.org/wiki/Big_data

Dear @Amir, I have taken part in different research question regarding big data, big data analytics and application in different fields. So I do bring some of them here, as many resources are available there.

https://www.researchgate.net/post/How_big_is_really_Big_Data

https://www.researchgate.net/post/Which_is_the_best_tool_for_Big_Data_Analysis

https://www.researchgate.net/post/What_are_Big_Data_Analytics_and_their_applications_in_electronic_markets

https://www.researchgate.net/post/Big_data_and_biometric_technologies_What_is_their_relationship

https://www.researchgate.net/post/What_is_the_difference_between_learning_and_BIG_data_analyses_in_the_context_of_education

https://www.researchgate.net/post/In_Big_Data_Analaysis_is_there_anything_not_fully_supported_by_mathematics

Big Data is MapReduce.

Big data reflects a paradigm shift from intuitive decision-making to deciding on the realistic impact of a number of complex of factors that influence the phenomenon concerned. Collection of information on these complex factors is possible due to advancement in technology and the support of the Internet.

This is a technology supported data analysis.

Data Data Science Analytic Tools

 Dear  Amir Mosavi,

Look the link, may be useful.

https://www.researchgate.net/post/Big_data_and_biometric_technologies_What_is_their_relationship

Regards, Shafagat

As name refers big, so big data is a massive amount of data which becomes a new challenge for researchers to managing and accessing efficiently. Using big data technologies, we can able to processed it efficiently. Such techniques are Hadoop, Spark, Shark, Flume, Pig, Hive, etc. Data can be any thing may be college data, hospital data, bank data, social media data, etc. every data need to store and manage. That is the challenge because it growing rapidly.

You can read my paper for better understandibility..

http://www.sciencedirect.com/science/article/pii/S235286481630027X

big data has many application in different field,such as airspace,energy,renewable energy,petroleum industry. so does anybody knowledge about each of these field or can share any source related to them?

Dear all                                                                                             

 What is Big Data? and how do you benefit from Big Data technologies?

Five years ago, a province government of my country projected to set up a Big Date of my country in the province. Because the project was doubted by a lot people so the head of the province answered questions on a TV program.

About Big Date, most important is safety. If Big Date includes too much data about health care, medical insurance, financial information, bank date…. etc, what will happen when it is attacked.

Big data is being generated by everything around us at all times. Every digital process and social media exchange produces it. Systems, sensors and mobile devices transmit it. Big data is arriving from multiple sources at an alarming velocity, volume and variety. To extract meaningful value from big data, you need optimal processing power, analytics capabilities and skills.

https://www.ibm.com/big-data/us/en/

What is Big Data?

Big Data refers to data sets which are larger in volume, greater variety (i.e. structured, unstructured, text & multimedia types) that are generated at a higher velocity with certain degree of veracity (e.g. quality & uncertainty).  Normally being addressed as 4 V's of Big Data.  Some people also add value as the 5th V.

and how do you benefit from Big Data technologies?

Complex questions can be answered as well as user / people can make quality decisions through well-informed input from big data analytics & predictions. Above can be achieved through the various uses cases of big data analytics which include:

You can refer to the following links for further details of the abovementioned:

https://www.qubole.com/resources/solution/best-use-cases-for-big-data-analytics/

https://www-01.ibm.com/software/data/bigdata/use-cases.html

For IT service delivery use cases, you can refer to my article below:

https://www.researchgate.net/publication/236863297_Using_Big_Data_Analytics_in_Information_Technology_IT_Service_Delivery

How do you see the future of Big Data in your field of research?

Big data analytics is getting more important through newer technologies & various uses cases being developed / discovered day by day.  These include using it together in conjunction with IoT as AoT (Analytics of Things), using big data analytics to automate / replace manual literature review, analyze & derive new areas for research (you can take a look on the follwoing 2 RG links) etc.

https://www.researchgate.net/post/Can_we_use_Big_Data_Analytics_to_Automate_Replace_Manual_Literature_Review_that_are_conducting_by_Researchers

https://www.researchgate.net/post/Can_we_use_Big_Data_Analytics_to_Analyze_Derive_New_Areas_for_PhD_Research?_tpcectx=profile_questions

Article Using Big Data Analytics in Information Technology (IT) Serv...

Dear all

Baidu Wenku is Big Data. It collects science articles. The TTP File introduces the knowledge about Big Date related with the question..  

http://wenku.baidu.com/link?url=V4udOT1-NMcmm7ioboHkHijJr9TzqDza4KcV6BIlEkUhW3YwhMExC_UO2LyldyRZjs9pr-srDvha03e7X_KgO2Vec2SAwnhaTSdBSEau4Oi

Big Data analytics is now an integral part of many businesses for their decision making and other business needs. 2016 brings along with it a lot of new trends that will shape up the world of Big Data...

See more at: http://visual.ly/trends-2016-big-data-analytics#sthash.CqQb2aAI.dpuf

Large data is defined as data that could lead to useful information.

Harness big data to achieve big gains!

The challenges presented by big data are being met by augmented and new analysis tools, networking pathways and flexible cloud computing services. Most come from IT, and thanks to ever-lower microprocessor, software and computing costs, they’re now arriving in force in process control applications, on plant floors and in the field...

Big data uses distributed, multi-mode, parallel data processing to handle larger, unstructured data sets, and employs different strategies for real-time and batch processing...

http://www.controlglobal.com/articles/2016/harness-big-data-to-achieve-big-gains/?utm_source=hs_email&utm_medium=email&utm_content=37848512&_hsenc=p2ANqtz-_a3pnpgPW2-2n7Ekw0bnlQ3sD4PuGNaLZtvBCj7wDCjY0y45Dt_rbmrNjTPyY-B1_mOcxIRFHX-s1IYZ2lVis_eIoysg&_hsmi=37933443

I do recommend blog of dear @Kushal on big data. It is very educative. It contains many resources and references. 

You are welcome dear @Kushal. It is really good blog.

Data Science vs. Big Data vs. Data Analytics

Data Science: Dealing with unstructured and structured data, Data Science is a field that comprises of everything that related to data cleansing, preparation, and analysis...

Big Data refers to humongous volumes of data that cannot be processed effectively with the traditional applications that exist. The processing of Big Data begins with the raw data that isn’t aggregated and is most often impossible to store in the memory of a single computer...

Data Analytics the science of examining raw data with the purpose of drawing conclusions about that information.

Data Analytics involves applying an algorithmic or mechanical process to derive insights. For example, running through a number of data sets to look for meaningful correlations between each other...

https://www.simplilearn.com/data-science-vs-big-data-vs-data-analytics-article

Just an opinion...

Big Data concept is challenged nowadays considering only size. The reason is, that RAM and CPU performance growth is so dynamic that it makes 'lazy' and 'distributed' computing less effective. Of course, there are really big datasets in the universe, but if we focus on real world problems, there are only few that really requires Big Data.

I think next step for Big Data is connected to Industry 4.0 and IoT - with a great bulk of sensors, activities and location. We tend to forget the other two Vs of Big Data besides Volume (Velocity and Variety). I think these two will accelerate Big Data in the near future.

On computing performance vs BigData:

https://speakerdeck.com/szilard/data-science-hype-vs-reality-big-data-vs-single-machine-tools-predictive-analytics-world-conference-may-2017-san-francisco

What can we say after the rich posts above, I agree with all.

I think big data is always related with space or cosmic sciences!

Regards, Emad