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This guide explores the use of HDInsight in a range of scenarios such as iterative exploration, as a data warehouse, for ETL processes, and integration into existing BI systems. It includes guidance on the concepts of big data, planning and designing big data solutions, and implementing solutions.

• This guide explores the use of HDInsight in a range of use cases and scenarios such as iterative exploration, as a data warehouse, for ETL processes, and integration into existing BI systems. The guide is divided into three sections:
• “Understanding Microsoft big data solutions,” provides an overview of the principles and benefits of big data solutions.
• “Designing big data solutions using HDInsight,” contains guidance for designing solutions to meet the typical batch processing use cases inherent in big data processing.
• “Implementing big data solutions using HDInsight,” explores a range of topics such as the options and techniques for loading data into an HDInsight cluster, the tools you can use in HDInsight to process data in a cluster, and the ways you can transfer the results from HDInsight into analytical and visualization tools to generate reports and charts, or export the results into existing data stores such as databases, data warehouses, and enterprise BI systems.

Files

Status: Live This download is still available on microsoft.com. The downloads below will come directly from the Microsoft Download Center.

File	Size
Developing big data solutions on Microsoft Azure HDInsight.pdf SHA1: 0fe4e1afc51fcf83b6c19ec831fc6853d8b5b7be	7.11 MB
DevelopingBigDataSolutionsOnMicrosoftAzureHDInsight.epub SHA1: 0641186345cf7804bdf1ef675e4f5d5a80550f56	7.92 MB
DevelopingBigDataSolutionsOnMicrosoftAzureHDInsight.mobi SHA1: b7a4d7e81abf47b111c1d60e907ef01e22f93118	12.36 MB

File sizes and hashes are retrieved from the Wayback Machine’s indexes. They may not match the latest versions of files hosted on Microsoft servers.

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