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Sep 26th, 2024 at 09:57  
Sep 26th, 2024 at 09:57  

UNSTRUCTURED VS. STRUCTURED DATA: KEY DIFFERENCES AND THEIR IMPACT ON BUSINESS ANALYTICS Data provides information about a particular subject, and this can be used for business analysis. Data has different formats. We see great rise in data size in this digital era. Inorder to effectively analyse vast amounts of data to help with decision making, a good knowledge of the differences between various types of data is necessary. Data which does not have a pre-defined data model and has no easily identifiable structure is called Unstructured data. This type of data cannot be used by a computer program easily. Unstructured data sources are diverse in nature hence managing it requires specialized tools and data science talents. The ever-expanding unstructured data collection has resulted in the growth of data lakes and Hadoop platform. Any form of data which resides in a fixed field within a record or file is called structured data. This includes Data enclosed in relational databases and spreadsheets. Structured data can be easily entered, stored, queried, and analysed. The most common example of structured data is a customer records database. We find customer first name, last name, customer ID, address etc in this database. All these are data in a uniform format and can be easily organized so that the user can quickly access this data and analyse it to derive business insights.Most common relational database applications with structured data include airline reservation systems, sales transactions, inventory control, ATM activities. SQL often enables queries on structured data which resides within relational databases. Hadoop is a magical platform which would help you convert trillions and zillions of bytes of unstructured data into structured data format. This is a data storage and processing platform which is designed to scale to numerous compute nodes and petabytes of data. Hadoop was primarily used by leading search engines to create page rank based on keywords from the text on pages. Transactions 8.1K Business Analytics 18.1K

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Reference: 152106