{"id":1010,"date":"2016-01-12T15:36:47","date_gmt":"2016-01-12T13:36:47","guid":{"rendered":"http:\/\/212.32.242.28\/?p=1010"},"modified":"2024-12-19T12:23:57","modified_gmt":"2024-12-19T10:23:57","slug":"big-data-vs-business-intelligence","status":"publish","type":"post","link":"https:\/\/puurdata.nl\/uk\/big_data_vs-business_intelligence\/","title":{"rendered":"Big Data vs. Business Intelligence"},"content":{"rendered":"
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Big Data vs. Business Intelligence<\/h1>\n
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In summary, the differences explained.<\/h4>\n\t<\/div>\n<\/div>\n\n\n\n\n\t\t<\/div> \n\t<\/div>\n\t<\/div> \n\n\t
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There is often confusion about the difference between Big Data analysis and Business Intelligence, but there are clear distinctions between the two. On this page, we explain some of these differences. Would you like to find out more about which approach would best suit your organisation? Please feel free to Contact<\/a> Get in touch with us. We're happy to help you find the right solutions.<\/p>\n\t<\/div>\n<\/div>\n\n\n\n\n\t\t<\/div> \n\t<\/div>\n\t<\/div> \n<\/div><\/div>

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Business Intelligence<\/h2>\n
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Business Intelligence<\/a> originated in the 1990s. The demand for management reports from available data grew steadily. BI is primarily intended for creating reports with management information. Data from databases is loaded into a special data warehouse. Standard reports then distil the necessary information from the data warehouse.<\/p>\n

Most BI environments operate according to the ETL principle. This stands for extract, transform and load. In BI, the information requirement is known and a solution has been built that can meet this information requirement. The implementation of a BI environment is usually complex and can take a long time.<\/p>\n\t<\/div>\n<\/div>\n\n\n\n\n\t\t<\/div> \n\t<\/div>\n\t<\/div> \n<\/div><\/div>

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Big Data Analytics<\/h2>\n
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Big Data<\/a>-analysis arose from the need to analyse large and complex datasets. Big Data is a term you will likely encounter regularly. Various definitions exist, but the most commonly used is that of Gartner: \u201cBig Data is information of extreme size, diversity and complexity and is everywhere.\u201d Big Data solutions often work with large datasets and can handle both structured and unstructured data.<\/p>\n

The goal is often not to generate a report within a second, but to investigate the data and gain new insights. The basis of a Big Data solution is often not a database but a file system. The best-known and most used is Hadoop<\/a>. This is an open-source system where data can be imported.<\/p>\n\t<\/div>\n<\/div>\n\n\n\n\n

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The overview below shows the main differences.<\/p>\n\t<\/div>\n<\/div>\n\n\n\n

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Want to know more?<\/h4>\n
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Would you like to know more or do you have a question about the possibilities, call us on +31 (0)88-7887328<\/a>, go to Contact<\/a> or fill in the form below!<\/p>\n\t<\/div>\n<\/div>\n\n\n\n\n\t\t<\/div> \n\t<\/div>\n\t<\/div> \n<\/div><\/div>\n\t\t\t<\/div> \n\t\t<\/div>\n\t<\/div> \n\n\t

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Recent articles<\/h4>\n
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Beveiligingsbewaking is een breder concept dat elk proces omvat dat is ontworpen om te detecteren, te voorkomen en te beperken van beveiligingsrisico's voor uw IT-omgeving. SIEM (Security Information and Event Management) is een specifieke technologie die beveiligingsbewaking mogelijk maakt door logboeken van verschillende bronnen te verzamelen, te analyseren en te correleren. SIEM-systemen kunnen helpen bij het detecteren van bedreigingen, het reageren op incidenten en naleving.<\/a><\/h3>\n Alex Steg<\/a> <\/span> | Blog<\/a> <\/span> | \n No comments<\/a> <\/span>\n <\/div>\n\n
Security monitoring and SIEM are often mentioned in the same breath. However, they do not mean the same thing. Security monitoring is about signalling deviations and possible threats, whereas SIEM helps to\u2026<\/div>\n <\/div>\n\n \n
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Elastic 9.4 shows where modern data environments are heading<\/a><\/h3>\n Alex Steg<\/a> <\/span> | Blog<\/a> <\/span> | \n No comments<\/a> <\/span>\n <\/div>\n\n
Elastic 9.4 shows how modern data environments are developing towards greater cohesion, context, and automation. In this blog, you'll read how AI, observability, and workflows are increasingly moving towards each other\u2026<\/div>\n <\/div>\n\n \n <\/div>\n\n \n\t\t\t<\/div> \n\t\t<\/div>\n\t<\/div> \n<\/div><\/div>","protected":false},"excerpt":{"rendered":"Elastic 9.4 laat zien waar moderne data-omgevingen naartoe bewegen AI, observability en automatisering groeien steeds meer naar elkaar toe Nieuwe technologie draait allang niet meer alleen om losse tools of...","protected":false},"author":1,"featured_media":527,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[7],"tags":[],"class_list":["post-1010","post","type-post","status-publish","format-standard","has-post-thumbnail","category-data-analyse"],"yoast_head":"\nBig Data vs Business Intelligence - PuurData<\/title>\n<meta name=\"description\" content=\"Big Data vs Business Intelligence; wat zijn de verschillen en wat zijn de overeenkomsten? 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