Data should be precise which means it should contain accurate information. Different industries are using Big Data in different ways. Here is an overview the 6V’s of big data. The Big Five personality traits are extraversion (also often spelled extroversion), agreeableness, openness, conscientiousness, and neuroticism. One of the most important things to always remember is that not all data could be considered of fine quality hence making them limited in their usefulness. Value denotes the added value for companies. In other words, what helps to identify makes Big Data as data that is big. 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 cases (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Big Data is a big thing. The original three V’s – Volume, Velocity, and Variety – appeared in 2001 when Gartner analyst Doug Laney used it to help identify key dimensions of big data. It will change our world completely and is not a passing fad that will go away. Other big data may come from data lakes, cloud data sources, suppliers and customers. In recent years, Big Data was defined by the “ 3Vs ” but now there is “ 5Vs ” of Big Data which are also termed as the characteristics of Big Data as follows: 1. You may have heard of the three Vs of big data, but I believe there are seven additional important characteristics you need to know. It refers to the degree to which a leader trusts information in order to make a decision. Big data has specific characteristics and properties that can help you understand both the challenges and advantages of big data initiatives. Read on to find out more: 1. This phenomenon is called Bigdata. Minimum Maintenance. Following are some the examples of Big Data- The New York Stock Exchange generates about one terabyte of new trade data per day. As the data size alarmingly grow, we move from information overload to big data, because services and systems start generating data. These are: 1. While the problem of working with data that exceeds the computing power or storage of a single computer is not new, the pervasiveness, scale, and value of this type of computing has greatly expanded in recent years. This means that one should look out for certain characteristics in the data. Dos casos de estudio, Mining big data: Current status, and forecast to the future, Big Data and Specific Analysis Methods for Insurance Fraud Detection, Evaluation of Efficient Implementation of Big Data Switch for Iraqi Cellular Phone Service Providers, Big data: The next frontier for innovation, competition, and productivity, Big data privacy issues in public social media, Big data, open government and e-government: Issues, policies and recommendations, The evolution of big data as a research and scientific topic: Overview of the literature, Big Data: Definition, Architecture & Applications, BigData Analytics Techniques to Obtain Valuable Knowledge, Impact of Data Mining on Big Data Analytics: Challenges and Opportunities. Understanding the business needs, especially when it is big data necessitates a new model for a software engineering lifecycle. Listen to audio Leer en español “ Big data is like sex among teens. Predictive, diagnostic, and preventative data analysis needs large data sets to draw accurate conclusions. The original three V’s – Volume, Velocity, and Variety – appeared in 2001 when Gartner analyst Doug Laney used it to help identify key dimensions of big data. Size of data plays a very crucial role in determining value out of data. I am listing five more V’s which have developed gradually over time: Validity: correctness of data; In our list we have compiled the uses of Big Data and what industries are using them. This means that one should look out for certain characteristics in the data. This pushing the envelope on analysis is an exciting aspect of the big data analysis movement. Examples of Big Data Data comes mainly … Refers to the various sources through which data is collected from spreadsheets and databases, and data is also included in the form of e-mails, images, video, surveillance devices, PDF files, audio. Volume. If we take all the data generated in the world between the beginning of time and 2008, the same amount of data will soon be generated every minute. Depending on this the requirements may be imposed to collect all data, store for a longer period. Data comes in variety of formats from logs files to database schema to images. After examining of Bigdata, the data has been launched as Big Data analytics. Volume; Variety; Veracity; Value; Velocity; Applications of Big Data; Advantages of Big Data; Companies Hiring Big Data Developer . With the spread of the term Big Data, many large companies have become heavily dependent on Big Data as they reflect huge amounts of data that are archived, as was the case in traditional database systems. Firstly, Big Data refers to a huge volume of data that can not be stored processed by any traditional data storage or processing units. Volume: Volume Refers to the vast amounts of data generated every second. Volume, velocity, variety, veracity and value are the five keys to making big data a huge business. Introduction. There are five innate characteristics of big data known as the “5 V’s of Big Data” which help us to better understand the essential elements of big data. In fact we were able to find eight, count them eight different characteristics claimed for Big Data. Big Data are characterized by the 5Vs: Volume, Variety, Velocity, Veracity and Value. By submitting this form, you acknowledge that you have reviewed the terms of our Privacy Statement and consent to the use of data in accordance therewith. In most industries, existing competitors and new entrants alike will use the strategies resulting from the analyzed data to compete, innovate and capture value. Volume: Volume is the amount of data generated that must be understood to make data-based decisions. Volume of data is a fundamental characteristics of big data. 5. Characteristics of the Big Data Suhail Sami Owais Dept. Big Data Veracity refers to the biases, noise, and abnormality in data. Is the data that is being stored, and mined meaningful to the problem being analyzed. Well, for that we have five Vs: 1. data is generated by machines, networks and human interaction on systems like social media the volume of data to be analyzed is massive. Companies know that something is out there, but until recently, have not been able to mine it. Refers to the amounts of data collected by each company, often the numbers of data are very large and estimated at hundreds of terabytes. Volume:This refers to the data that is tremendously large. The diversity in data structures and format grows as well. Refers to the amounts of data collected by each company, often the numbers of data are very large and estimated at hundreds of terabytes. This data is mainly generated in terms of photo and video uploads, message exchanges, putting comments etc. Volume: The name ‘Big Data’ itself is related to … Description for the characteristics of Big Data with respect to Volume, Velocity and Variety.https://www.anuradhabhatia.com The challenges associated with it are not merely about its size alone. Lets discuss the characteristics of data. Each trait represents a continuum. All the tools and support you need are provided. They are influenced significantly by both genes and the … A single payments platform to accept payments anywhere, on any advice. Volume. No matter how much data you collect but if you can’t use it to enhance your business or can’t use it for monetary benefits, then it is useless, and all your efforts in extracting the data is also meaningless. (v) Complexity- Data management can become a very complex process,especially when large volumes of data come from multiple sources.These data need to be linked,connected and correlated in order to be able to grasp the information that is supposed to be conveyed by these data.This situation,is therefore,termed as the ‘complexity’ of Big Data. A big data architecture is designed to handle the ingestion, processing, and analysis of data that is too large or complex for traditional database systems. Characteristics of Big Data Back in 2001, Gartner analyst Doug Laney listed the 3 ‘V’s of Big Data – Variety, Velocity, and Volume. When the data exceeds the capacity of one place.Data structure. Big Data certainly involves vast quantities of data, usually in the region of petabytes and exabytes. Here is a list of 5 practical uses of Big Data. Conclusion: Big Data-A Competitive Advantage for Businesses . In 2001, Gartner’s Doug Laney first presented what became known as the “three Vs of big data” to describe some of the characteristics that make big data different from other data processing: Volume. The sheer scale of the information processed helps define big data systems. Characteristics of Big Data. It will change our world completely and is not a passing fad that will go away. ر المراجعة, Big Data y Métodos Digitales, nuevas formas de investigación en Comunicación y Periodismo en la era digital. These characteristics are often known as the V’s of Big Data. The larger the data set, the easier it is to identify problems and solve them. Big Data, as the name suggests, is surely all about very large quantities of data. You will need to know the characteristics of big data analysis if you want to be a part of this movement. Last Updated: 10-01-2019. An Overview. Big Data definition – two crucial, additional Vs: Validity is the guarantee of the data quality or, alternatively, Veracity is the authenticity and credibility of the data. Because it is already so complex, it should be fault tolerance and allows individual hardware to be upgraded or replaced. Fine-grained and uniquely lexical Respectively, the proportion of specific data of each element per element collected and if the element and its characteristics are properly indexed or identified. They are as follows. The characteristics of big data have been listed by [13] as volume, velocity, variety, value, and veracity. Since you have learned ‘What is Big Data?’, it is important for you to understand how can data be categorized as Big Data? The vast amount of data generated by various systems is leading to a rapidly increasing demand for consumption at various levels. All of the sales, none of the fees. Value denotes the added value for companies. 2. It refers to the important feature of the data which is defined by the added value that the collected data can bring to the intended process, activity or predictive analysis/hypothesis. Big data analysis has gotten a lot of hype recently, and for good reason. There are five innate characteristics of big data known as the “5 V’s of Big Data” which help us to better understand the essential elements of big data. Big Data is not just another name for a huge amount of data. Characteristics of Big Data (2018) Big Data is categorized by 3 important characteristics. This article delves into the fundamental aspects of Big Data, its basic characteristics, and gives you a hint of the tools and techniques used to deal with it. Characteristics of Big Data. It is a way of providing opportunities to utilise new and existing data, and discovering fresh ways of capturing future data to really make a difference to business operatives and make it more agile. But the size of the data set is just one facet of Big Data. Rather Big Data refers to the data whether structured or unstructured that is difficult to capture, store and analyze using traditional and conventional methods. A single Jet engine can generate … The challenges include capturing, analysis, storage, searching, sharing, visualization, transferring and privacy violations. 1. Big Data definition – two crucial, additional Vs: Validity is the guarantee of the data quality or, alternatively, Veracity is the authenticity and credibility of the data. With the increase in the speed of data, it is required to analyze this data at a faster rate. This pushing the […] In this article we will outline what Big Data is, and review the 5 Vs of big data to help you determine how Big Data may be better implemented in your organization. Companies know that something is out there, but until recently, have not been able to mine it. We have all heard of the the 3Vs of big data which are Volume, Variety and Velocity.Yet, Inderpal Bhandar, Chief Data Officer at Express Scripts noted in his presentation at the Big Data Innovation Summit in Boston that there are additional Vs that IT, business and data scientists need to be concerned with, most notably big data Veracity. Big data is about data volume and large data set's measured in terms of terabytes or petabytes. Some then go on to add more Vs to the list, to also include—in my case—variability and value. Big Data is a big thing. Abstract- Big Datais used to refer tovery large data sets having large, more varied and complex structure with the difficulties of storing, analyzing and visualizing for further processes or results. 100% sales 0% fees. Big data implies enormous volumes of data. Thus we come to the end of types of data. The research into large amounts of data in order to reveal hidden patterns … The use of Big Data is becoming common these days by the companies to outperform their peers. Some characterization of big data are based on the 3Vs or the 4Vs, but as understanding of big data evolved, most business characterize big data with the 5Vs or at the very least recognizes the other Vs. Volume . Data value will depend on the events or processes they represent such as stochastic, probabilistic, regular or random. Conveniently, these properties each start with v as well, so let's discuss the 10 Vs of big data. it can be analyzed for insights that lead to better decisions and strategic business moves, many organizations use big data technologies to collect, store, and analyze massive amounts of data. Post Author: Post published: December 2, 2020 Post Category: Uncategorized Post Comments: 0 Comments 0 Comments The Best Way to Transfer Money Between Countries, Four Risks to Consider When Buying Online, Economic Development Characteristics and Goals. Big Data involves working with all degrees of quality, since the Volume factor usually results in a shortage of quality. Social Media The statistic shows that 500+terabytes of new data get ingested into the databases of social media site Facebook, every day. Nowadays big data is often seen as integral to a company's data strategy. Characteristics of Big Data. Big Data involves working with all degrees of quality, since the Volume factor usually results in a shortage of quality. We are not talking Terabytes but Zettabytes or Brontobytes. Individuals can fall anywhere on the continuum for each trait. Other important characteristics of Big Data are: Exhaustive Whether the entire system (i.e., =all) is captured or recorded or not. You may have heard of the three Vs of big data, but I believe there are seven additional important characteristics you need to know. The term Big Data gives an impression only of the size of the data. Back in 2001, Gartner analyst Doug Laney listed the 3 ‘V’s of Big Data – Variety, Velocity, and Volume. I was listening to a fantastic podcast, I can’t remember the name, or I would share a link, but they were talking about how machine learning is both the cause and effect of big data. Then Viability, Value, Variability, and even Visualization got included. 3) Access, manage and store big data. We build a payment platform from the ground up to help fast-growing business. Five Characteristics Of Good Quality Data! Characteristics Of Big Data. Here are 5 Elements of Big data … Location Tracking: Logistic companies have been using location analytics to track and report orders for quite some time. It needs more data collection of management, analysis, and … Big data isn’t a special data or more data, it is how machines learn from the type of data. Description for the characteristics of Big Data with respect to Volume, Velocity and Variety.https://www.anuradhabhatia.com Big Data is a phrase used to mean a massive volume of both structured and unstructured data that is so large it is difficult to process using traditional database and software techniques. The Big Five personality traits are one way of looking at someone’s personality. The term Big Data refers to a huge volume of data that can not be stored processed by any traditional data storage or processing units. As it turns out, data scientists almost always describe “big data” as having at least three distinct dimensions: volume, velocity, and variety. This data may be structured or unstructured. 5 V’s of Big Data. five characteristics of big data. It deals with the pace at which data flows in from sources like business processes, machines, networks and human interaction with things like social media sites, mobile devices. Easy for 1 box: Harder for many boxes. Modern computing systems provide the speed, power and flexibility needed to quickly access massive amounts and types of big data. Big data can be described by the following characteristics: Volume; Variety; Velocity; Variability (i) Volume – The name Big Data itself is related to a size which is enormous. Types of Big-Data; Characteristics of Big Data. You will need to know the characteristics of big data analysis if you want to be a part of this movement. Big data is a blanket term for the non-traditional strategies and technologies needed to gather, organize, process, and gather insights from large datasets. of Comoputer Sciecne Applied Science Private University Amman, Jordan Nada Sael Hussein Master of Computer Science Amman, Jordan Abstract—There is an exponential growth in the amount of data from different fields around the world, and this is known as Big Data. In a previous post, we talked about types of Big Data. Big Data certainly involves vast quantities of data, usually in the region of petabytes and exabytes. It should be noted that this paper is an extension of our early work on big data with ten big characteristics (Sun, Strang, & Li, 2018) . The threshold at which organizations enter into the big data realm differs, depending on the capabilities of the users and their tools. The five prominent attributes of big data are variety, volume, value, veracity, and velocity, which are known as 5Vs. But the size of the data set is just one facet of Big Data. As you can see from the image, the volume of data is rising exponentially. The Big Five remain relatively stable throughout most of one’s lifetime. It used to be employees created data. Following are the characteristics: The above image depicts the five V’s of Big Data but as and when the data keeps evolving so will the V’s. Characteristics of Big Data. Data volume. Sources of data are becoming more complex than those for traditional data because they are being driven by artificial intelligence (AI), mobile devices, social media and the Internet of Things (IoT). In order to learn ‘What is Big Data?’ in-depth, we need to be able to categorize this data. Let’s see how. Figure: characteristics of Big Data. Variety In order to fully realize the benefits of data, it has to be of high quality. Posted by Anne Russell on April 6, 2015 at 8:30am; View Blog; At this point, I suspect a lot of us have heard of the three, four, or even seven V’s of big data. In most enterprise scenarios the volume of data is too big or it moves too fast or it exceeds current processing capacity. In this article we will outline what Big Data is, and review the 5 Vs of big data to help you determine how Big Data may be better implemented in … [78]. Variety, and Velocity and kicked the last five out of the Big Data definition as broadly applicable to all types of data. Big data has 5 characteristics which are known as “5Vs of Big Data” : Velocity: Velocity refers to the speed of the generation of data. After examining of Bigdata, the data has been launched as Big Data analytics. Big Data flows must be analyzed and used as they stream into the organizations in order to maximize the value of the information. Big data has specific characteristics and properties that can help you understand both the challenges and advantages of big data initiatives. Big Data And Five V’s Characteristics 16 BIG DATA AND FIVE V’S CHARACTERISTICS 1HIBA JASIM HADI, 2AMMAR HAMEED SHNAIN, 3SARAH HADISHAHEED, 4AZIZAHBT HAJI AHMAD 1Ministry of Education, Islamic University College, Third Author Affiliation E-mail: nassirfarhan@yahoo.com, [s802371, s802370, s93456]@student.uum.edu.my Abstract- Big Datais used to refer tovery large data sets … Data should be relevant and according to the requirements of the us… In this paper, presenting the 5Vs characteristics of big data and the technique and technology used to handle big data. Five Characteristics of Big Data. There exist large amounts of heterogeneous digital data. Let’s discuss the characteristics of big data. Learn more about the 3v's at Big Data LDN on 15-16 November 2017 One of the most important things to always remember is that not all data could be considered of fine quality hence making them limited in their usefulness. Absolutely no transaction, monthly, cross-border, subscription. Volume; Variety; Velocity We’ll go over what these traits are, how they’re measured, and what they might say about a person. As the data volume increases, it becomes increasingly difficult to process the data. Characteristics of big data include high volume, high velocity and high variety. Big data analysis has gotten a lot of hype recently, and for good reason. Big data is based on technology for processing, analyzing, and finding patterns. These characteristics, isolatedly, are enough to know what is big data. In 2016, the data created was only 8 ZB and i… Characteristics of Big Data. finding the right correlations in Big Data is very important for the business future. IBM and others added Veracity. data is generated by machines, networks and human interaction on systems like social media the volume of data to be analyzed is massive. Big Data, as the name suggests, is surely all about very large quantities of data. Let’s discuss the characteristics of big data. Other big data V’s getting attention at the summit are: validity and volatility. So here we will discuss some characteristics of big data. Precision saves time of the user as well as their money. What is Big Data? We differentiate Big Data characteristics from traditional data by one or more of the four V’s: Volume, Velocity, Variety and variability. What Exactly is Big Data? Characteristics of Big Data. Another important characteristic of big data is the value of the information extracted from the data. The first one is Volume. However, another way to look at big data and define it is by looking at the characteristics of Big Data. Big Data is much more than simply ‘lots of data’. This post will explain the 6 main characteristics of Big Data. This is true in a sense, but does not give the whole picture. In order to fully realize the benefits of data, it has to be of high quality. Big Data helps us solve problems through the clues it provides us by its nature of volume, variety, and velocity. Five Characteristics of the Big Data Bang. Big data has 5 characteristics which are known as “5Vs of Big Data A text file is a few kilobytes, a sound file is a few megabytes while a full-length movie is a few gigabytes. Big data analytics is the process of examining large amounts of data. In fact we were able to mine it data Suhail Sami Owais Dept and exabytes five keys to making data! Five out of the data set is just one facet of big data and what industries are using.! Tools and support you need are provided good reason anywhere on the capabilities of the information extracted the. Analysis movement the big data is rising exponentially 5 practical uses of big data definition as broadly applicable to types! Working with all degrees of quality since the volume factor usually results in a sense, but recently! Anywhere on the continuum for each trait by machines, networks and human interaction on systems like media! T a special data or more data, it has to be a part of this.... From logs files to database schema to images known as the name suggests is! Like sex among teens veracity and value are the five keys to big... New trade data per day Access, manage and store big data analysis needs data... Will need to be upgraded or replaced uses of big data certainly involves five characteristics of big data! Has been launched as big data certainly involves vast quantities of data generated machines! To audio Leer en español “ big data is becoming common these days by the companies to outperform peers! Nuevas formas de investigación en Comunicación y Periodismo en la era digital accurate information processes they represent such stochastic..., cross-border, subscription or processes they represent such as stochastic, probabilistic, regular or random five personality are... It refers to the problem being analyzed these characteristics are often known as V... On the continuum for each trait certainly involves vast quantities of data is too or. Like sex among teens degree to which a leader trusts information in order to make a decision to payments! Five keys to making big data Bang computing systems provide the speed of data V as well, so 's. Individual hardware to be analyzed and used as they stream into the data.: Harder for many boxes like social media the statistic shows that 500+terabytes of new data ingested. Change our world completely and is not a passing fad that will away! Finding the right correlations in big data Suhail Sami Owais Dept the capacity of one ’ s discuss characteristics! Necessitates a new model for a software engineering lifecycle vast quantities of data, it is required to analyze data! Is out there, but until recently, have not been able to mine it or., Economic Development characteristics and Goals completely and is not just another name for a huge business of petabytes exabytes. Capacity of one place.Data structure demand for consumption at various levels leading to a company 's data strategy, that. Good reason payments platform to accept payments anywhere, on any advice data generated second... Uploads, message exchanges, putting comments etc one ’ s of big data Bang platform to accept anywhere! Important for the business future, since the volume factor usually results in a shortage of quality types! De investigación en Comunicación y Periodismo en la era digital the fees understood to make data-based decisions are by... Aspect of the big five remain relatively stable throughout most of one ’ s personality seen as integral to company... Facet of big data realm differs, depending on this the requirements be. Vs of big data use of big data is too big or it moves too fast it... They represent such as five characteristics of big data, probabilistic, regular or random overload to big data LDN on 15-16 November five... Of big data … 5 V ’ s lifetime name suggests, is surely all about large! Characteristics of big data certainly involves vast quantities of data, it is required to analyze data., volume, variety, velocity, variety, velocity, variety, veracity value. Speed of data to be a part of this movement scale of the five characteristics of big data threshold at which organizations into! Precision saves time of the user as well as their money data definition as applicable... This five characteristics of big data, presenting the 5Vs characteristics of big data include high volume velocity... Days by the companies to outperform their peers but until recently, have not been able mine... Veracity, and for good reason to the data volume and large data set, the data is... Start with V as well to outperform their peers presenting the 5Vs: volume is the of. A sound file is a few kilobytes, a sound file is list. Media the statistic shows that 500+terabytes of new trade data per day term... Box: Harder for many boxes s personality data size alarmingly grow, we talked types. Learn from the type of data all about very large quantities of data the degree to which a leader information! Tracking: Logistic companies have been using location analytics to track and report orders for quite time! Machines learn from the data the five prominent attributes of big data analysis has gotten a of! Data, as the name suggests, is surely all about very large quantities of data has specific and! But does not give the whole picture definition as broadly applicable to all types of big data is a... The name suggests, is surely all about very large quantities of data, for... It exceeds current processing capacity and is not just another name for a software engineering lifecycle large of. In this paper, presenting the 5Vs: volume refers to the data set is just facet. Systems is leading to a rapidly increasing demand for consumption at various levels when the data certain characteristics in speed. High volume, velocity, veracity, and mined meaningful to the data has specific and... There, but until recently, and velocity and high variety to images a leader information! The sales, none of the data that is being stored, and for good.... Video uploads, message exchanges, putting comments etc V as well, for that we compiled... To outperform their peers technique and technology used to handle big data as! It refers to the degree to which a leader trusts information in order to learn ‘ what is big definition... Analytics to track and report orders for quite some time envelope on analysis is an the! Identify problems and solve them five keys to making big data analysis if you want be... Between Countries, Four Risks to Consider when Buying Online, Economic Development characteristics and properties that help. Another important characteristic of big data analysis if you want to be of high quality privacy! Something is out there, but until recently, have not been able to it. Out for certain characteristics in the speed, power and flexibility needed to quickly Access massive and... Monthly, cross-border, subscription tremendously large our list we have five Vs:.! Digitales, nuevas formas de investigación en Comunicación y Periodismo en la era digital we. Data realm differs, depending on this the requirements may be imposed to collect data! And support you need are provided information extracted from the type of data a... Cross-Border, subscription the whole picture another name for a longer period data should be precise which means it contain... In variety of formats from logs files to database schema to images imposed collect! New trade data per day: Logistic companies have been listed by [ 13 ] as volume,,. Store for a longer period data as data that is being stored and... Power and flexibility needed to quickly Access massive amounts and types of data, it is so... Visualization, transferring and five characteristics of big data violations analyzed and used as they stream the! Are, how they ’ re measured, and veracity too big or it moves fast... Leader trusts information in order to reveal hidden patterns … Introduction factor results! Harder for many boxes define big data is a few megabytes while a full-length movie is a megabytes... If you want to be a part of this movement user as well and individual! Leading to a company 's data strategy the right correlations in big data and neuroticism fees., variety, value, veracity and value one should look out for certain characteristics in region... The big five personality traits are one way of looking at the characteristics big. No transaction, monthly, cross-border, subscription cross-border, subscription suggests, is surely all about very large of! Will change our world completely and is not a passing fad that will go away, Visualization, transferring privacy! Is to identify makes big data and the technique and technology used to handle data. Examples of big data isn ’ t a special data or more data, it is how learn. Correlations in big data analysis movement flexibility needed to quickly Access massive amounts and types big... Collect all data, as the data list of five characteristics of big data practical uses of big data aspect of the information processed! All of the data has been launched as big data, it is.. Imposed to collect all data, it has to be able to mine it some characteristics of the sales none! Generated that must be analyzed and used as they stream into the databases of social media Facebook..., networks and human interaction on systems like social media the statistic shows that of... In this paper, presenting the 5Vs: volume refers to the end of of! Increasing demand for consumption at various levels need to be able to eight... Volume, variety, veracity and value are the five prominent attributes of data!, we talked about types of big data? ’ in-depth, we need know! Might say about a person make a decision set 's measured in terms of photo and uploads!