Microsoft Power BI tool

 

Microsoft Power BI is an interactive data visualization software developed by Microsoft with the main focus on business intelligence. It is a part of the Microsoft Power Platform. Power BI is a group of software services, apps, and connectors that work together to turn unrelated sources of data into coherent, visually immersive, and interactive insights. Data may imported by reading directly from a database, webpage, or structured files such as spreadsheets, CSV, XML, JSON and many more.

Microsoft Power BI certification course is a dominant enterprise suite which offers intuitive analytical tools which support management in interpreting huge data volumes and generating useful insights. Microsoft Power BI allows its users to connect and integrate data from vast sources, transform raw data into the finished product and reproduce it in presentable, easy to understand format to help in strategic decision making.

 


Brillica Services provides the best certificate training course in Microsoft Power BI in Dehradun, Uttarakhand and Delhi.

 

Power BI provides cloud-based BI (business intelligence) services, along with a desktop based interface, called "Power BI Desktop". It offers data warehouse capabilities which includes data preparation, data discovery and interactive dashboards. In March year 2016, Microsoft released an additional service called Power BI Embedded on its Azure cloud platform. One main difference between the products is the ability to load custom visualizations.

The application was originally envisaged by Thierry D'Hers and Amir Netz of the SQL Server Reporting Services Team at Microsoft. It was originally designed by Ron George, named the Project Crescent. The Project Crescent was initially available for public download on July 11, 2011 bundled with SQL Server Codename Denali, later renamed to Power BI and it was then revealed by Microsoft in September year 2013 as Power BI for Office 365 users. The first release of Power BI was based on the Microsoft Excel-based plug-ins such as Power Query, Power Pivot and Power View. With time, Microsoft added many additional features such as Question and Answers, enterprise level data connectivity and security options via Power BI Gateways. Power BI was first released for the general public in July 24th, 2015.

In February 2019, Gartner.com, a software reviewing company, confirmed Microsoft as the Leader in the "2019 Gartner Magic Quadrant for Analytics and Business Intelligence Platform" as a result of the capabilities of Power BI platform. This report represented the 12th consecutive year of recognition of Microsoft as the Leading vendor in this Magic Quadrant category.

 

For more: https://www.brillicaservices.com/

#powerbi #microsoft #businessintelligence #dataanalytics #excel #datascience #data #tableau #datavisualization #office #analytics #sql #dashboard #business #python #dynamics #bi #software #digitaltransformation #dataanalysis #bigdata #dashboards #powerapps #azure #microsoftpowerbi #machinelearning #technology #cloud #datascientist #bhfyp

 

Comments

Post a Comment

Popular posts from this blog

What-if Analysis Tool in Excel

Image
In Excel , What-if analysis is a process of changing the value of the cells to see how the changes will affect the outcome. You can use different sets of values to explore all the various leads to one or more formulas. Nowadays, What-if Analysis in Excel is used by every data analyst and especially management professionals to make better, faster and more accurate decisions based on the data. What-if analysis tool is used in many situations, like: • To propose different budgets based on revenue. • To predict the future values based on the given historical values. • If you expect a certain value due to a formula, you can find different sets of input values that produce the desired result. To enable the what-if analysis tool you have to go to the Data menu tab and click on the What-If Analysis option. Goal Seek is a What-If Analysis tool which helps you to find the input value which results in a target value that you desire. Goal Seek requires a formula which uses the input...
Read more

Opportunities in Cyber Security

Image
Cyber security is the practice to defend computers, servers, mobile devices, electronic systems, networks, and data from malicious attacks. It is also referred as information technology security or electronic information security.   Application security focuses on keeping software and devices threat free. Cybersecurity course is also Empowering and educating current and future cybersecurity Professionals globally with skills & Knowledge, with industry-specific training, certifications.   Skills needed for cyber security: • Problem-Solving Skills. • Technical Aptitude. • Knowledge of Security Across Various Platforms. • Attention to Detail. • Communication Skills. • Fundamental Computer Forensics Skills. • A Desire to Learn. • An Understanding of Hacking.   Importance of Cyber Security: Cybersecurity is vital because it protects all categories of knowledge from theft and damage. This includes sensitive data, personally identifiable inform...
Read more

Algorithms of Machine Learning

Image
  We are, in all likelihood, living in the most defining period of human history. The period when computing moved from large mainframes to PCs and then to the cloud. But what makes it more defining is what is coming in our way in the upcoming years. What makes this period exciting and captivating for someone is the normalization of the various tools and techniques, which followed the boost in computing.   Widely, Machine Learning Algorithms are classified as: 1. Supervised Learning : Consists of a target / output variable (or dependent variable) which is to be predicted from a given set of predictors (independent variables). Using these set of variables, we generate a function which map inputs to desired outputs. The training process continues until the model achieves a desired level of accuracy on the training data. Some of the examples of Supervised Learning are Regression, Decision Tree, Random Forest, KNN, Logistic Regression etc.   2. Unsupervised Learni...
Read more