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Titlebook: Beginning Big Data with Power BI and Excel 2013; Big Data Processing Neil Dunlop Book 2015 Neil Dunlop 2015

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發(fā)表于 2025-3-21 17:11:36 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Beginning Big Data with Power BI and Excel 2013
期刊簡(jiǎn)稱Big Data Processing
影響因子2023Neil Dunlop
視頻videohttp://file.papertrans.cn/183/182258/182258.mp4
發(fā)行地址In Beginning Big Data with Power BI and Excel 2013, you will learn to solve business problems by tapping the power of Microsoft’s Excel and Power BI to import data from NoSQL and SQL databases and oth
圖書封面Titlebook: Beginning Big Data with Power BI and Excel 2013; Big Data Processing Neil Dunlop Book 2015 Neil Dunlop 2015
影響因子.In .Beginning Big Data with Power BI and Excel 2013., you will learn to solve business problems by tapping the power of Microsoft’s Excel and Power BI to import data from NoSQL and SQL databases and other sources, create relational data models, and analyze business problems through sophisticated dashboards and data-driven maps..While .Beginning Big Data with Power BI and Excel 2013 .covers prominent tools such as Hadoop and the NoSQL databases, it recognizes that most small and medium-sized businesses don’t have the Big Data processing needs of a Netflix, Target, or Facebook. Instead, it shows how to import data and use the self-service analytics available in Excel with Power BI. As you’ll see through the book’s numerous case examples, these tools—which you already know how to use—can perform many of the same functions as the higher-end Apache tools many people believe are required to carry out in Big Data projects..Through instruction, insight, advice, andcase studies, .Beginning Big Data with Power BI and Excel 2013. will show you how to:.Import and mash up data from web pages, SQL and NoSQL databases, the Azure Marketplace and other sources..Tap into the analytical power of Piv
Pindex Book 2015
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沙發(fā)
發(fā)表于 2025-3-21 23:46:34 | 只看該作者
板凳
發(fā)表于 2025-3-22 02:02:18 | 只看該作者
Book 2015I to import data from NoSQL and SQL databases and other sources, create relational data models, and analyze business problems through sophisticated dashboards and data-driven maps..While .Beginning Big Data with Power BI and Excel 2013 .covers prominent tools such as Hadoop and the NoSQL databases,
地板
發(fā)表于 2025-3-22 07:41:53 | 只看該作者
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發(fā)表于 2025-3-22 09:34:56 | 只看該作者
Maryam Mirzakhani: A Mathematical Polygloting the data, to make Hadoop available as a service in the cloud. Azure is useful for storing large datasets in the cloud in a cost-effective manner. Microsoft only charges for resources actually used.
6#
發(fā)表于 2025-3-22 16:44:03 | 只看該作者
HDInsight,ing the data, to make Hadoop available as a service in the cloud. Azure is useful for storing large datasets in the cloud in a cost-effective manner. Microsoft only charges for resources actually used.
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發(fā)表于 2025-3-22 19:54:06 | 只看該作者
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發(fā)表于 2025-3-22 23:56:45 | 只看該作者
Power Query, unstructured data available from sources such as OData, Hadoop, and Azure Marketplace. It is a self-service ETL (export, transform, load) tool for extracting, transforming, and loading data. It is more powerful than some of the approaches that have been covered previously. Microsoft is constantly u
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發(fā)表于 2025-3-23 04:24:43 | 只看該作者
HDInsight,s Azure cloud platform is called HDInsight, which is designed to handle large amounts of data in the cloud. HDInsight uses Azure blob storage for storing the data, to make Hadoop available as a service in the cloud. Azure is useful for storing large datasets in the cloud in a cost-effective manner.
10#
發(fā)表于 2025-3-23 07:41:59 | 只看該作者
Book 2015arry out in Big Data projects..Through instruction, insight, advice, andcase studies, .Beginning Big Data with Power BI and Excel 2013. will show you how to:.Import and mash up data from web pages, SQL and NoSQL databases, the Azure Marketplace and other sources..Tap into the analytical power of Piv
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