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

ExcelR's Data Analyst Course is meticulously crafted to empower individuals with the skills and knowledge required to navigate the realm of data analysis proficiently. <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 Sources_ Structured, Unstructured, and Semi-Structured Data – Key Points

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  1. Data Sources: Structured, Unstructured, and Semi-Structured Data – KeyPoints StructuredData: Structured data is highly organized and easily searchable within relational databases, typically stored in rows and columns (like in spreadsheets or SQL databases). Data Analyst Course. Examplesincludefinancialdata,customerinformation,and transaction records. Its defined format(schema) makes it easy toanalyze using traditional data analysistools. UnstructuredData: Unstructured data lacks a predefined structure, making it more challenging to store, process, and analyze. Examples include emails, social media posts, images, videos, and documents. Despite its complexity, unstructured data holds valuable insights and is often analyzed using advancedtechniques suchas natural languageprocessing (NLP) andmachine learning. Semi-StructuredData: Semi-structured data falls between structured and unstructured data. While it doesn’t fit neatly into a relational database, it contains tags or markers that provide organizational elements. CommonexamplesincludeJSON,XML,andHTMLfiles.Semi-structureddataisusefulfor caseswhere flexibility is required,but some level ofstructure is still necessaryfor processing. DataStorageandProcessingTools: Structureddataistypicallymanagedusingtraditionalrelationaldatabasemanagement systems (RDBMS), while unstructured data is handled by tools such as Hadoop or NoSQL databases.Semi-structureddataisoftenprocessedwithhybrid solutions like MongoDB or Elasticsearch,which can accommodate its flexiblenature. UsageinDataAnalytics: Structured data is used for tasks like reporting, statistical analysis, and operational analytics. Unstructured data, on the other hand, is essential for sentiment analysis, customer insights, and multimediacontentmining.DataAnalyticsCourseinMumbai.Semi-structureddataisuseful in scenarios where data comes from APIs or mixed formats, enabling businesses to work with diversedata sources while maintaining somelevel of organization.

  2. 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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