{{announcement.body}}
{{announcement.title}}

Leveraging Azure Stream Analytics With Power BI and IoT for Real-Time Data

DZone 's Guide to

Leveraging Azure Stream Analytics With Power BI and IoT for Real-Time Data

What started with a mobile-first concept, has today, expanded to a cloud-specific approach — learn more about Microsoft Azure.

· IoT Zone ·
Free Resource

Since its inception, Microsoft has always been on the roll, augmenting newer technologies to ease the line of business operations. What started with a mobile-first concept, has today, expanded to a cloud-specific approach.

Microsoft Azure, the platform that gained recognition years before is now in direct competition with Google's cloud and Amazon AWS. It would not be a surprise to see azure rising above the other two. Following a similar notion is the concept of the Microsoft BI platform that fosters real-time data analysis facilitating better and improved business decisions.

You may also like: How to Use Power BI to Get GitHub Reports

But that is not the end, Microsoft is continuously working to better the Power BI platform, add more features and enhance the power of data. A start to this has been the integration of IoT solutions with Power BI.

Merging IoT Solution With Power BI 

A lot has been said for data, the core of most business operations today. It is seen that data when putting to use can help organizations make smarter decisions, one that can drive the success of a business. As a matter of fact, data is deemed to be a valuable asset of an organization.

Hence, leaders must structure their raw data, analyze and assess it to outline significant insights that drive business decisions. While doing all of this manually isn't feasible, Microsoft's Power BI is one such platform that triggers data extraction, analysis, and visualization.

An exciting feature of the Power BI platform is the integration of the same with IoT solutions. Such a fusion enables organizations to access and display days in real-time so that the decision-makers can quicken the pace of driving business.  

Consider, for example, a manufacturing unit has installed IoT devices across the warehouse. Now, data from these devices are gathered and displayed in real-time so that the managers can take decisions instantly. In case, any of the devices aren't functioning well, the data would be displayed and the software team can shut down the machine without delays. Such real-time management is proven to better the functionality of business operations.

Enticing right?

But Microsoft doesn't seem to halt here. The fusion is now taken to a different level with the incorporation of Azure Stream Analytics. Before we get into the specifics of such analytics, let's have a quick view of what data streaming is and how does this affects the line of business operations.  

Data Streaming

Data Streaming or in simple terms, streaming data sets refer to the range of streams that accept data. The streaming data sets that encompass data input enables organization leaders to manage and monitor updates in real-time. Either through the sensors or through social media sites, external devices or campaigns, streaming data can route from all.  

Now, Power BI here comes into picture facilitating the creation of data dashboards that would store, update and display data obtained from the above-mentioned sources.  

How Does Data Streaming Work With Power BI?

The creation of a dashboard is an easy way to display real-time data. Power BI is the platform that does the job for you. When using Power BI, one can use three different types of real-time data sets to build a dashboard. To get started, you would need to select one of the databases and then move ahead with the creation.  

Steps:  

Select one of the datasets.

  1. Push Data Set
  2. Streaming Data Set
  3. PubNub Streaming Data Set

Push data into one of the selected datasets.

  1. REST APIs to push data
  2. Streaming Dataset UI to push data
  3. Azure Streaming Analytics to push data

While the first method enables using REST APIs to feed data, the second employs API for pushing data. Now, the third and the most important one being, azure streaming analytics is what we discuss here.

Azure Streaming Analytics

Azure analytics as we know involves analyzing data to process it and drive insights, streaming data, on the other hand, suggests inputting data from multiple sources at the same time. Keeping this as the base, azure streaming analytics is a process that consists of analyzing data or running the analytics tool on a range of data streams.

To put it this way, azure streaming analytics is one where real-time analytics is done on all sources of data at the same time. Whether from IoT devices, websites, social media or external metrics, analytics is done on all data using azure streaming analytics.

Why Azure Streaming Analytics

Ok, one question that arises here is why would organizations need to opt for azure streaming analytics.

True that there has been an upsurge in the amount of data available across the enterprise. Simply analyzing the data is not enough. It is important to put the data to use in real-time. With thousands of IoT devices installed, data is fetched from all and with azure streaming analytics, one can put all of this data to use. It helps use time-based information to render significant information that further influences business operations.

Whether it is about fleet management, or device maintenance, stock-trade analysis or web analytics, the azure streaming analytics when fused with IoT and Power BI platform help organizations drive maximum benefit from data.

But how?

The functionality of azure streaming analytics is pretty simple and can be segmented into a group of three.

  1. Take data as input from multiple streams.
  2. Run SQL based query to process it.
  3. Generate output and publish it.

Now that seems pretty simple, isn't it?

Microsoft has been upgrading for a long time and the onset of azure streaming analytics is an excellent example of the same. The benefits provided by this are endless. To start with, it is an easy to use platform that enables marketing managers to gain insights in a couple of clicks. Further, the platform is kept secured and abides by the security norms of the industry, encrypting all sorts of communication.

The fact that azure streaming analytics is cloud-based, can be deployed by organizations as a service and further, use it to drive analysis. The platform seamlessly integrates with IoT devices and the Power BI portal to accelerate the quality of data analytics. The best part is its cost-efficiency. Integrating such a solution might seem to be a costly affair, but to everyone's surprise, the Microsoft powered azure streaming analytics solution is tailored to map the needs of all businesses.

High efficiency, greater throughput and ability to deal with complex scenarios, the service is best for organizations that have data from multiple streams and plan to use all for informed decision making.

The Final Word

As said by experts, Power BI along with IoT has the potential to improve the quality of decisions made by businesses. Apparently, most of the work is done by insights gained from real-time dashboards. Thanks to the bundle of IoT devices installed within the enterprise and the data gathered from all that facilitates decision making faster and better.

In the end, it is true that data is the fuel that drives business growth but azure streaming analytics is one that ensures optimal utilization of this data, boosting the efficiency of organizational operations and in a way accelerating the growth of the business.


Further Reading

Apps Depend on Real-Time Streaming Data, Here’s How to Manage Them

Build a Real-Time Data Visualization Dashboard With Couchbase Analytics and Tableau

Real-Time Stream Processing With Apache Kafka Part One

Topics:
azure stream analytics ,powerbi ,iot internet of things ,azure cloud ,real time data ,iot

Opinions expressed by DZone contributors are their own.

{{ parent.title || parent.header.title}}

{{ parent.tldr }}

{{ parent.urlSource.name }}