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Data Warehouses: Basic Concepts for data enthusiasts

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The purpose of a data warehouse is to combine multiple sources to generate different insights that help companies make better decisions and forecasting. It consists of historical and commutative data from single or multiple sources.

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Enhance monitoring and debugging for AWS Glue jobs using new job observability metrics, Part 3: Visualization and trend analysis using Amazon QuickSight

AWS Big Data

Publish the QuickSight dashboard When the analysis is ready, complete the following steps to publish the dashboard: Choose PUBLISH. Select Publish new dashboard as , and enter GlueObservabilityDashboard. Select Publish new dashboard as , and enter GlueObservabilityDashboard. Choose Publish dashboard.

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How HelloFresh is Disrupting the Grocery Industry Using Deep Customer Insights.

Cloudera

We’ve just published our most recent customer success story ! This story gives a look at how HelloFresh is becoming a more data centric organization to better serve its customers. For HelloFresh, data is key to understanding customer preferences, including what recipes, ingredients, and meals each household likes.

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What is Advanced Analytics and How Can it Advance Your Organization?

Smarten

The term ‘Advanced Analytics’ can seem daunting to the average business user and even to the average business enterprise but the process is not as complex as it may seem. What is Advanced Analytics? How Can Advanced Analytics Advance Your Organization?

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Upcoming Power BI Workshop in Brisbane – 27 Mar 2015

Ms SQL Girl

Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 using Power Pivot. Creating Interactive Visualisation for Actionable Analytics. Tips and Tricks on Charts and Data Models. Publishing and Administering Dashboards and Reports in Power BI for the Organisation.

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Upcoming Power BI Workshop in Brisbane – 27 Mar 2015

Ms SQL Girl

Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 using Power Pivot. Creating Interactive Visualisation for Actionable Analytics. Tips and Tricks on Charts and Data Models. Publishing and Administering Dashboards and Reports in Power BI for the Organisation.

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Upcoming Power BI Workshop in Huntington Beach, CA – Apr 10, 2015

Ms SQL Girl

Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 using Power Pivot. Creating Interactive Visualisation for Actionable Analytics. Tips and Tricks on Charts and Data Models. Publishing and Administering Dashboards and Reports in Power BI for the Organisation.