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Expanding the Cloud: Introducing the AWS Asia Pacific (Mumbai) Region

All Things Distributed

Market innovators and change agents need a comprehensive infrastructure platform that can reliably scale on-demand. AdiMap uses Amazon Kinesis to process real-time streaming online ad data and job feeds, and processes them for storage in petabyte-scale Amazon Redshift. Let’s build groundbreaking innovations together.

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Expanding the AWS Cloud: Introducing the AWS Canada (Central) Region

All Things Distributed

Canada has set forth a bold innovation agenda grounded in entrepreneurship, scientific research, growing small and medium-sized businesses with a focus on environmentally friendly technologies, and the transition to a digital economy. For more customer case studies, see All AWS Customer Stories. in the coming year.

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Microsoft Engineering loves SQLBits

SQL Server According to Bob

Best practices on Building a Big Data Analytics Solution – Michael Rys. If you want to learn about Azure Data Lake, there is no one better. Maximise compute performance with Azure SQL Data Warehouse – More JRJ on Azure DW. Azure Cosmos DB: design patterns and case studies – Andrew Liu.

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Data Mining Problems in Retail

Highly Scalable

Data mining offers a variety of techniques for nonparametric modeling that helps to create flexible and practical models. Many articles and case studies published during the last decade successfully achieve the balance between abstract models and machine learning. However, many of these models are highly parametric (i.e.

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