In my previous post, I showed you how to stream real time tweets to Power BI using Azure Databricks, Azure Streaming Analytics and Power BI. Then, I showed you how to store those tweets for long time storage in your data lake. But how do we bring that data to our data warehouse?First of all:
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Enterprise BI
A modern data platform should be able to handle streaming data, both in batch and real time. We as a society have come to expect organizations and people to respond to situations fast . We cannot always wait a day until the data warehouse has processed the nightly batch to analyze the data the next
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Some time ago a colleague of mine - let's call him John - was bouncing up and down, saying we need Power BI Premium. A report was not performing very well and he had read that Premium would give us dedicated capacity. A quick glance at the problem made me realize he was having trouble
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4 years ago I was a speaker for an event called "Power BI for municipalities". The first speaker showed some of the reports they had been making at their organization. The audience was very involved and enthusiastic. They simply loved it. The main feeling going through everyone's mind was "I want to start with Power
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Organizations that start with Power BI often ask me "Jesse, how do you go about development, test and production environments when using Power BI?". I have decided to write about my experiences - I have been implementing Power BI since the beginning of the product - and share you my ideas. The reason why this
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In Microsoft BI, a tabular model is often the way to go. OLAP gets more and more often replaced by Tabular cubes and Power BI models. However, it's really hard to create a model that covers the whole enterprise. In this post I propose a solution for doing just that in a simple way. In
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The last two and a half years I have been helping organizations adopt and implement Power BI. With the right approach Power BI can be a huge success. But if you are not sure how to do it right, you might make the data landscape messier and more confusing. Here are the 5 simple lessons
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In an enterprise environment there are various ways of how users can interact with data using Power BI. Some users have a need for consuming pre-defined management reports, while other users wish to build their own datasets and create their own analysis. In discussion with colleagues we came up with five types of business users
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I have been very curious about Azure Data Lake. So I started experimenting with it. In this post I share with you my thoughts about it.
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I've been looking into DWA for a few months now, and might give it a try sooner or later. Here's some thoughts about it:
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