Firebase, a backend platform used to build Web, Android, and IOS applications, offers real time database, and various APIs, in addition to multiple authentication types and hosting platforms. In this blog, I have tried to give you a basic idea about the Firebase platform and how you can deal with its various components and sub-components.
Firebase Realtime Database is a secure way to access your database directly from the client-side to create wonderful and really collaborative applications. Data is persisted locally and continues to fire real time events even while offline, giving your user a fully responsive experience.
What is even more exciting about Realtime Database is its capability to synchronize local data changes with remote updates when the client was offline that means any conflicts are merged automatically when the device’s connection is restored.
The Realtime Database provides a relatively flexible, expression-based rules-language called Firebase Realtime Database Security Rules. This language essentially defines how your data should be structured and when it can be read from, or who it can be written to. When integrated with Firebase Authentication, you as a developer can easily define who has access to which data, and how they can access it.
The Realtime Database is a NoSQL database and has a variety of optimizations and functionaries compared to a relational database. The Realtime Database API is designed in such a way that it can only allow operations that can be executed quickly. This enables you to effectively build a great Realtime experience that can serve millions of users without ever truly compromising on responsiveness. However, because of this, it is important to think about how users need to access your data and then structure it accordingly.
Firebase is a comprehensive app development platform that comes with the following characteristics
Power BI is essentially a collection of multiple software services, apps, and connectors that work together to convert your unrelated sources of data into insights that are coherent, visually immersive, and interactive. Your data could be an Excel spreadsheet or a collection of cloud-based, on-premises hybrid data warehouses, with Power BI you can connect your data sources , visualize them, discover what is important, and share your data insights.
Power BI consists of several elements that all work cohesively, starting with these basics components:
These three elements-Power BI Desktop, the service, and the mobile apps—are designed to let you create, share, and consume business insights in a way that serves you and your role most effectively. In addition to these three, Power BI also includes two other elements:
Workflow in Power BI commonly begins by connecting with data sources on the Power BI Desktop and building a report. Then publish your report from the Power BI Desktop to the Power BI Server, and share it so other business users on the Power BI service and on mobile devices can view and interact with your report. This workflow is quite common and shows how the three primary Power BI elements complement one another.
Without the right infrastructure, storing or even for that matter querying large datasets can be both expensive and time-consuming. Big Query, an enterprise data warehouse solves problems by enabling extremely fast SQL queries using the processing power of Google’s infrastructure. Move your data into Big Query, and let it do what it does best. You can control the access to both the project and your data based on your business needs, this means others can have the ability to view or query your data.
You can access Big Query by using either the Cloud Console or the classic web UI, by using the BQ command-line tool, or even by making calls to the Big Query REST API with the help of a variety of client libraries such as Java, .NET, or Python. Use third-party tools to interact with Big Query, to visualize or load data.
Big Query is fully managed and you do not need to deploy any resources, such as disks and virtual machines to get started.
Big Query Sandbox grants you free access to the power of Big Query. However, it is subject to the sandbox’s limits. The sandbox lets you use the Cloud Console without providing your credit card details. You can use it without creating a billing account or enabling billing for your project.
The Cloud Console is the graphical interface that you can use to create and manage Big Query resources and to run SQL queries. See the Cloud Console quick start for a working introduction to the Cloud Console.
Any Google Cloud customer can leverage Big Query sandbox including Firebase users. For all Firebase users, the ‘Big Query to Firebase’ in the Firebase Help tab should give the right instructions on how to go about linking the two.
To open the sandbox:
7.While you’re using the sandbox, you do not need to create a billing account, and you do not need to attach a billing account to the project.
The Big Query sandbox is subject to the following limits.
To overcome the limitations of sandbox, you can upgrade your project and update or remove the expiration time for your resources. After upgrading from the sandbox, Big Query Quotas and limits still apply.
To upgrade from the Big Query sandbox:
Connect to your Google Big Query database on your Power BI Desktop and use the underlying data. This is similar to any other data source found in Power BI Desktop.
Here’s how you make the connection to a Google Big Query Database:
After connecting to Big Query in Power BI, pull data into Power BI and create reports according to need. You are now ready!
Now that I have taken you through the process, you can try your hands at effectively integrating Firebase with Power BI using Big Query and create reports and analysis a wide range of data.
Write to us if you have questions on Firebase Integration, or if you wish to know more about our services, or if you would like to know how we helped a leading technology company revamp their analytics capabilities by migrating to Microsoft Power BI and reducing their IT costs by 45%.
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