What are the Characteristics of Big Data

What are the Characteristics of Big Data Big Data Characteristics: Know the 5Vs of Big Data Back Home Categories Online Courses Mock Interviews Webinars NEW Community Write for Us Categories Artificial Intelligence AI vs Machine Learning vs Deep LearningMachine Learning AlgorithmsArtificial Intelligence TutorialWhat is Deep LearningDeep Learning TutorialInstall TensorFlowDeep Learning with PythonBackpropagationTensorFlow TutorialConvolutional Neural Network TutorialVIEW ALL BI and Visualization What is TableauTableau TutorialTableau Interview QuestionsWhat is InformaticaInformatica Interview QuestionsPower BI TutorialPower BI Interview QuestionsOLTP vs OLAPQlikView TutorialAdvanced Excel Formulas TutorialVIEW ALL Big Data What is HadoopHadoop ArchitectureHadoop TutorialHadoop Interview QuestionsHadoop EcosystemData Science vs Big Data vs Data AnalyticsWhat is Big DataMapReduce TutorialPig TutorialSpark TutorialSpark Interview QuestionsBig Data TutorialHive TutorialVIEW ALL Blockchain Blockchain TutorialWhat is BlockchainHyperledger FabricWhat Is EthereumEthereum TutorialB lockchain ApplicationsSolidity TutorialBlockchain ProgrammingHow Blockchain WorksVIEW ALL Cloud Computing What is AWSAWS TutorialAWS CertificationAzure Interview QuestionsAzure TutorialWhat Is Cloud ComputingWhat Is SalesforceIoT TutorialSalesforce TutorialSalesforce Interview QuestionsVIEW ALL Cyber Security Cloud SecurityWhat is CryptographyNmap TutorialSQL Injection AttacksHow To Install Kali LinuxHow to become an Ethical Hacker?Footprinting in Ethical HackingNetwork Scanning for Ethical HackingARP SpoofingApplication SecurityVIEW ALL Data Science Python Pandas TutorialWhat is Machine LearningMachine Learning TutorialMachine Learning ProjectsMachine Learning Interview QuestionsWhat Is Data ScienceSAS TutorialR TutorialData Science ProjectsHow to become a data scientistData Science Interview QuestionsData Scientist SalaryVIEW ALL Data Warehousing and ETL What is Data WarehouseDimension Table in Data WarehousingData Warehousing Interview QuestionsData warehouse architectureTalend T utorialTalend ETL ToolTalend Interview QuestionsFact Table and its TypesInformatica TransformationsInformatica TutorialVIEW ALL Databases What is MySQLMySQL Data TypesSQL JoinsSQL Data TypesWhat is MongoDBMongoDB Interview QuestionsMySQL TutorialSQL Interview QuestionsSQL CommandsMySQL Interview QuestionsVIEW ALL DevOps What is DevOpsDevOps vs AgileDevOps ToolsDevOps TutorialHow To Become A DevOps EngineerDevOps Interview QuestionsWhat Is DockerDocker TutorialDocker Interview QuestionsWhat Is ChefWhat Is KubernetesKubernetes TutorialVIEW ALL Front End Web Development What is JavaScript â€" All You Need To Know About JavaScriptJavaScript TutorialJavaScript Interview QuestionsJavaScript FrameworksAngular TutorialAngular Interview QuestionsWhat is REST API?React TutorialReact vs AngularjQuery TutorialNode TutorialReact Interview QuestionsVIEW ALL Mobile Development Android TutorialAndroid Interview QuestionsAndroid ArchitectureAndroid SQLite DatabaseProgramming Vs of Big Data Publish ed on Dec 20,2019 4.2K Views Ravi Kiran Tech Enthusiast working as a Research Analyst at Edureka. Curious about learning... Tech Enthusiast working as a Research Analyst at Edureka. Curious about learning more about Data Science and Big-Data Hadoop. Bookmark Become a Certified Professional Big Data Characteristics are mere words that explain the remarkable potential of Big Data. This pinnacle of Software Engineering is purely designed to handle the enormous data that is generated every second and all the 5 Vs that we will discuss, will be interconnected as follows.What is Big Data?Types of Big-DataCharacteristics of Big DataVolumeVarietyVeracityValueVelocityApplications of Big DataAdvantages of Big DataCompanies Hiring Big Data DeveloperWhat is Big Data?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. Big Data is generated at a very large scale and it is being used by many multinational compan ies to process and analyse in order to uncover insights and improve the business of many organisations.Types of Big-DataBig Data is generally categorized into three different varieties. They are as shown below:Structured DataSemi-Structured DataUnstructured DataStructuredData owns a dedicated data model, It also has a well-defined structure, it follows a consistent order and it is designed in such a way that it can be easily accessed and used by a person or a computer. Structured data is usually stored in well-defined columns and also Databases.Example: Database Management Systems(DBMS)Semi-Structured Data can be considered as another form of Structured Data. It inherits a few properties of Structured Data, but the major part of this kind of data fails to have a definite structure and also, it does not obey the formal structure of data models such as an RDBMS.Example:Comma Separated Values(CSV) File.Unstructured Data is completely a different type of which neither has a structure no r obeys to follow the formal structural rules of data models. It does not even have a consistent format and it found to be varying all the time. But, rarely it may have information related to data and time.Example: Audio Files, Images etcCharacteristics of Big DataVolumeVolume refers to theunimaginableamountsof informationgeneratedeverysecond from social media, cell phones, cars, credit cards, M2M sensors,images, video, and whatnot. We are currently using distributed systems, to store data inseverallocations and brought together by a software Framework like Hadoop. Facebook alone can generate about billion messages, 4.5 billion times that the like button isrecorded, and over 350 million new posts areuploadedeach day. Such a huge amount of data can only be handled by Big Data TechnologiesVarietyAs Discussed before, Big Data is generated in multiple varieties. Compared to the traditional data like phone numbers and addresses, the latest trend of data is in the form of photos, videos, and audios and many more, making about 80% of the data to be completely unstructuredStructured data is just the tip of the iceberg.VeracityVeracity basically means the degree of reliability that the data has to offer. Since a major part of the data is unstructured and irrelevant, Big Data needs to find an alternate way to filter them or to translate them out as the data is crucial in business developmentsValueValue is the major issue that we need to concentrate on. It is not just the amount of data that we store or process. It is actually the amount of valuable, reliable and trustworthy data that needs to be stored, processed, analyzed to find insights.VelocityLast but never least, Velocity plays a major role compared to the others, there is no point in investing so much to end up waiting for the data. So, the major aspect of Big Dat is to provide data on demand and at a faster pace.Applications of Big DataBig Data is considered the most valuable and powerful fuel that can run the m assive IT industries of the 21st Century. Big Data is being the most wide-spread technology that is being used in almost every business sector. Let us now check out a few as mentioned below.Travel and Tourism is one of the biggest users of Big Data Technology. It has enabled us to predict the requirements for travel facilities in many places, improving business through dynamic pricing and many moreFinancial and Banking Sectors extensively uses Big Data Technology. Big dataanalytics can aidbanksin understanding customer behaviour based on the inputs received from their investment patterns, shopping trends, motivation to invest and personal or financial backgrounds.Big Data has already started to create a huge difference in the healthcare sector. With the help of predictive analytics, medical professionals and Health Care Personnel are now able to provide personalized healthcare services to individual patients.Telecommunication and Multimedia sector is one of the primary users of Big Data. There are zettabytes of getting generated every day and to handle such huge data would need nothing other than Big Data Technologies.Government and Military also use Big Data Technology at a higher rate. You can consider the amount of data Government generates on its records and in the military, a normal fighter jet plane requires to process petabytes of data during its flight.Advantages of Big DataBig Data Technology has given us multiple advantages, Out of which we will now discuss a few.Big Data has enabled predictive analysis which can save organisations from operational risks.Predictive analysis has helped organisations grow business by analysing customer needs.Big Data has enabled many multimedia platforms to share data Ex: youtube, InstagramMedical and Healthcare sectors can keep patients under constant observations.Big Data changed the face of customer-based companies and worldwide marketCompanies Hiring Big Data DevelopersThere are many MNCs hiring Big Data Developers . Some of the major tech giants are enlisted below as follows:With this, we come to an end of this article. I hope I have thrown some light on to your knowledge onBig Data Characteristics.Now that you have understood Big data and its Characteristics, check out theHadooptrainingby Edureka,a trusted online learning companywith a network of more than250,000satisfied learnersspread acrossthe globe. The Edureka Big Data Hadoop Certification Training coursehelps learners becomeexpert in HDFS, Yarn,MapReduce, Pig, Hive, HBase, Oozie, Flume and Sqoop using real-time use cases on Retail, Social Media, Aviation, Tourism, Finance domain.If you have any query related to this Big Data Characteristics article, then please write to us in the comment section below and we will respond to you as early as possible.Recommended videos for you Big Data Tutorial Get Started With Big Data And Hadoop Watch Now When not to use Hadoop Watch Now Distributed Cache With MapReduce Watch Now MapReduce Design Patt erns Application of Join Pattern Watch Now What is Apache Storm all about? 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