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Build an Amazon Redshift data warehouse using an Amazon DynamoDB single-table design

AWS Big Data

Typical use cases for DynamoDB are an ecommerce application handling a high volume of transactions, or a gaming application that needs to maintain scorecards for players and games. In traditional databases, we would model such applications using a normalized data model (entity-relation diagram).

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The Business Intelligence Market – What’s Old is New

In(tegrate) the Clouds

As the data visualization, big data, Hadoop, Spark and self-service hype gives way to IoT, AI and Machine Learning, I dug up an old parody post on the business intelligence market circa 2007-2009 when cloud analytics was just a disruptive idea. Ad hoc query, data mining, information I’m still not finding.

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The Benefits, Challenges and Risks of Predictive Analytics for Your Application

Jet Global

Data-Driven Decision Making: Embedded predictive analytics empowers the development team to make informed decisions based on data insights. By integrating predictive models directly into the application, developers can provide real-time recommendations, forecasts, or insights to end-users.

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13 power tips for Microsoft Power BI

CIO Business Intelligence

Power BI is Microsoft’s interactive data visualization and analytics tool for business intelligence (BI). With Power BI, you can pull data from almost any data source and create dashboards that track the metrics you care about the most. But with Power BI, you can simply drag a slider bar to show the impact of changes.

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Google Analytics Tutorial: 8 Valuable Tips To Hustle With Data!

Occam's Razor

Produce built-in visualization magic. If you are an Analysis Ninja, focus on the mental model and approach used in each recommendation. My preferred path is to leverage the tool's built-in features for filtering/visualizing the data. I mean really use the tools. Ravage all the features. Exploit every possible button.

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