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#POWER BI DESKTOP VS POWER BI SERVICE HOW TO#
#POWER BI DESKTOP VS POWER BI SERVICE INSTALL#
#POWER BI DESKTOP VS POWER BI SERVICE CODE#

In this option, you create one or more Amazon EC2 instances with Microsoft Windows Server

#POWER BI DESKTOP VS POWER BI SERVICE INSTALL#

There are a number of options for hosting Microsoft Power BI Desktop in the AWS Cloud: Option 1: Install Microsoft Power BI Desktop on an Amazon EC2 instance

The destination (pictured in the diagram), or by using the regional public service endpoint. You can connect to Amazon Athena and other regional services by using a VPC endpoint connection as Network connectivity to data sources with private IP addresses, such as Amazon RDS and Amazon Redshift. In this model the Microsoft Power BI Desktop is hosted within the Amazon VPC in a public subnet and has direct Management traffic is transmitted, the bandwidth requirements are well suited for typical Internet, AWS VPN and Direct Connect are both valid connection types too. This Self-Service AI with Power BI Desktop book helps you to get the most from that tool by exploiting some of its latest and most advanced features.Microsoft Power BI Desktop deployed in the AWS CloudĪlthough the diagram depicts user connectivity to the desktop occurring through the Power BI Desktop is a freely available tool for visualization and analysis. There’s much to like and learn from this book whether you are a newcomer to Power BI or a seasoned user.

Transform and visualize your data with the help of R and Python scripts.

Create new columns by giving examples of the data that you need.

Know your data, even before you build your first report.

Simulate changes in data and immediately see the consequences.

Load visualizations to add smartness to your reports.

Walk the same drill down path in different parts of your hierarchy.

Access artificial intelligence features available in the Azure cloud.

Have Power BI show key influencers over categories of data.

Let Power BI explain why a certain data point differs from the rest.

Ask questions in natural language and get answers from your data.

#POWER BI DESKTOP VS POWER BI SERVICE HOW TO#

You will learn how to integrate and leverage the use of the R and Python languages for statistics, how to integrate with Cognitive Services and Azure Machine Learning Services when loading data, how to explore your data by asking questions in plain English … and more! There are AI features for discovering your data, characterizing unexplored datasets, and building what-if scenarios.

This book helps you learn what types of insights Power BI is capable of delivering automatically. No matter if you are a business user, analyst, or data scientist – Power BI has AI capabilities tailored to you. This book opens up the entire suite of AI features to you with clear examples showing when they are best applied and how to invoke them on your own datasets.

#POWER BI DESKTOP VS POWER BI SERVICE CODE#

Other features are available through writing code in either the R, Python, or M languages. Some of the features are automated and are available to you at the click of a button or through writing Data Analysis Expressions (DAX). These AI features are built into Power BI Desktop and help you to gain new insights from existing data. This book explains how you can enrich the data you have loaded into Power BI Desktop by accessing a suite of Artificial Intelligence (AI) features. Self-Service AI with Power BI Desktop: Machine Learning Insights for Business

Publisher: WOW! eBook (September 27, 2020).