{"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 het kort de verschillen uitgelegd.<\/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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Er is vaak verwarring over het verschil tussen Big Data-analyse en Business Intelligence, maar er zijn duidelijke verschillen tussen beide. Op deze pagina lichten we enkele van deze verschillen toe. Wil je meer weten over welke aanpak het beste past bij jouw organisatie? Neem gerust Contact<\/a> met ons op. We helpen je graag de juiste oplossingen te vinden.<\/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> is ontstaan in de jaren 90 van de vorige eeuw. De vraag naar managementrapportages uit beschikbare data werd toen steeds groter. BI is primair bedoeld voor het cre\u00ebren van rapportages met managementinformatie. Data uit databases wordt in een speciale datawarehouse geladen. Standaardrapportages destilleren vervolgens de noodzakelijk informatie uit het datawarehouse.<\/p>\n

De meeste BI-omgevingen werken volgens het ETL-principe. Dit staat voor extractie, transformatie en laden. Bij BI is de informatiebehoefte bekend en is er een oplossing gebouwd die aan deze informatiebehoefte kan voldoen. De implementatie van een BI-omgeving is meestal complex en kan lang duren.<\/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-analyse<\/h2>\n
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Big Data<\/a>-analyse is ontstaan vanuit de behoefte om grote en complexe datasets te analyseren. Big Data is een begrip wat u waarschijnlijk regelmatig tegenkomt. Er bestaan verschillende definities van, maar de meest gebruikte is die van Gartner: \u201cBig Data is information of extreme size, diversity and complexity and is everywhere.\u201d Big Data-oplossingen werken vaak met grote datasets en kunnen met zowel gestructureerde als ongestructureerde data omgaan.<\/p>\n

Het doel is vaak niet om binnen een seconde een rapport te generen, maar de data te onderzoeken en zo nieuwe inzichten te verkrijgen. De basis van een Big Data-oplossing is in veel gevallen geen database maar een filesysteem. De bekendste en meest gebruikte is Hadoop<\/a>. Dit is een opensource systeem waar de data kan worden ingeladen.<\/p>\n\t<\/div>\n<\/div>\n\n\n\n\n

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Onderstaande overzicht geeft de belangrijkste verschillen weer.<\/p>\n\t<\/div>\n<\/div>\n\n\n\n

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Want to know more?<\/h4>\n
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Wil je meer weten of heb je een vraag over de mogelijkheden, bel ons op +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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