What is a Power BI ?

Power BI is a self service business intelligence suite.The question will come in mind that what it will ? Why it is required ?

  1. "Want to make GOOD Business Decision"
  2. "Explore Insight of Business"
  3. "Visualization of data and Share "
  4. Grow your business faster
  5. Make development more efficient
  6. Deliver value for your customers
  7. "Pulling up data from tons of source, quickly make data visualization help to make business decision "

ar12  5. Power BI Desktop :

  • It's Desktop application
  • Allow to create data set
  • Develop reports and dashboard
  • Natural Language Query. Allowing users to type questions and receive answers from data in the form of interactive visualizations.
  1. Power BI Service
  • It's a service allow to share reports and dashboards
  • Gain Access
  1. Power BI Mobile Apps
  • "It's give you visibility of reports and dashboard using mobile "

Development Workflow of Power  BI

Under the Power BI suite there are below components .Now we have to figure out how there work together.

  • Power BI Desktop − This is used to create reports and data visualizations on the dataset.
  • Power BI Gateway − You can use Power BI on-premises gateway to keep your data fresh by connecting to your on-premises data sources without the need to move the data. It allows you to query large datasets and benefit from the existing investments.
  • Power BI Mobile Apps − Using Power BI mobile apps, you can stay connected to their data from anywhere. Power BI apps are available for Windows, iOS, and Android platform.
  • Power BI Service − This is a cloud service and is used to publish Power BI reports and data visualizations.

WorkFlow

Few steps are required as data preparation, data discovery, business-user-oriented dashboards with a streamlined workflow in a single, low-cost package give BI leaders an alternative from a single vendor as it matures through frequent releases.“Consider Power BI as an alternative for data discovery and dashboard deployments, particularly when the requirement is to combine cloud and on-premises data sources.”