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Data Types_ Structured, Unstructured, and Semi-Structured – Key Points

ExcelR's Data Science Course offers a comprehensive learning experience tailored to meet the demands of the industry.<br><br>Business name: ExcelR- Data Science, Data Analytics, Business Analytics Course Training Mumbai<br>Address: 304, 3rd Floor, Pratibha Building. Three Petrol pump, Lal Bahadur Shastri Rd, opposite Manas Tower, Pakhdi, Thane West, Thane, Maharashtra 400602<br>Phone: 09108238354 <br>Email: enquiry@excelr.com<br>

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Data Types_ Structured, Unstructured, and Semi-Structured – Key Points

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  1. DataTypes:Structured,Unstructured,andSemi-Structured–Key Points StructuredData: Structured data is organized and formatted in a predefined manner, typically stored in tables with rows and columns, making it easily searchable and analyzable. Data Science Course. Common examples include spreadsheets, databases, and records like sales data or customer information.Structureddataisusedintraditionalrelationaldatabases(e.g.,SQL)andisideal forquantitative analysis. Unstructured Data: Unstructured data lacks a predefined format or organizational structure, making it harder to searchandanalyze.Examplesincludetextdocuments,emails,socialmediaposts, audio, images, and videos. This type of data requires advanced processing techniques, such as text miningand image recognition, to extractuseful information. Semi-StructuredData: Semi-structured data contains both structured and unstructured elements. While it doesn’t fit into a traditional relational database, it has tags or markers to provide some organizational framework. Common examples are JSON, XML, and NoSQL databases. It’s a flexible format usedin web data, logfiles, and APIs, enabling easierdata exchange between systems. FlexibilityandUsage: Structured data is highly efficient for routine reporting and business operations, whereas unstructured data is useful for gaining insights from more complex, qualitative sources, like customerfeedback.Semi-structureddatastrikes abalance,providingflexibilitywhilestill offering some degree of structure for easier processing. DataProcessingand Tools: Structured data is processed using relational database systems (SQL), while unstructured datarequiresspecializedtoolssuchasHadoop,NoSQLdatabases,ormachinelearning algorithms.DataScienceCourseinMumbai.Semi-structureddataoftenuseshybrid

  2. approacheswithtoolslikeMongoDB,Elasticsearch,or cloud-basedsolutionsthatsupport flexibilityin handling diverse data formats. Businessname:ExcelR-DataScience,DataAnalytics,BusinessAnalyticsCourseTraining Mumbai Address:304,3rdFloor,PratibhaBuilding.ThreePetrolpump,LalBahadurShastriRd, oppositeManas Tower, Pakhdi, Thane West, Thane, Maharashtra 400602 Phone:09108238354 Email:enquiry@excelr.com

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