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Data Mining vs Data Warehousing: 8 Critical Differences

Analytics Vidhya

The two pillars of data analytics include data mining and warehousing. They are essential for data collection, management, storage, and analysis. Both are associated with data usage but differ from each other.

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What is data architecture? A framework to manage data

CIO Business Intelligence

Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). An organizations data architecture is the purview of data architects. Cloud computing.

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Hadoop Data Mining Tools Can Enhance The Value Of Digital Assets

Smart Data Collective

Digital marketers can use data mining tools to assist them in a number of ways. Hadoop data mining technology can identify duplicate metadata content across different digital creatives, which might be causing search engine penalties, message saturation issues and other problems. Metadata is important in digital marketing.

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5 Data Mining Tips to Leverage the Benefits of Surveys

Smart Data Collective

Well, if you are someone who has loads of data and aren’t using it for your surveys and you would love to learn more on how to use it, don’t go anywhere because, in this article, we will show you data mining tips you can use to leverage your surveys. 5 data mining tips for leveraging your surveys.

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Essential Proxy Selection Tips For Web Data Mining

Smart Data Collective

Data mining has led to a number of important applications. One of the biggest ways that brands use data mining is with web scraping. Towards Data Science has talked about the role of using data mining tools with web scraping. They make it much easier to make numerous data mining requests.

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The Growing Importance of Customer Data Mining for SMEs

Smart Data Collective

Have you managed to achieve a community with your business and is this what helps drive sales? If you need a CRM (customer relationship management) this may mean you will have to look at new campaigns and adopt a different approach to how you communicate with customers. Every SME needs to get the most value of their customer data.

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Fundamentals of Data Mining

Data Science 101

This data alone does not make any sense unless it’s identified to be related in some pattern. Data mining is the process of discovering these patterns among the data and is therefore also known as Knowledge Discovery from Data (KDD). Machine learning provides the technical basis for data mining.