IOT

Streaming Data and IoT Application Development: Your Guide to Success

Share IconFacebook IconTwitter IconLinkedIn IconPinterest IconWhatsApp Icon

The world is changing. With the advent of streaming data and the Internet of Things (IoT), we are now entering an era where data is streaming in at an unprecedented rate. According to a recent Ericsson Mobility report, there were 14.6 billion IoT connections in May 2022. This is projected to balloon to over 30.2 billion connections by 2027, a growth of 13% CAGR. The fastest growth is occurring in Wide Area IoT application development and Cellular IoT2 connections.

blog154 inner1.jpg

Image source: Ericsson.com

This has led to a new wave of innovation in the world of IoT application development.


The IoT Data Volume Challenge

IoT and technologies that support it, such as 5G, have created a new problem – ingesting processing and analyzing the huge data streams generated by IoT devices.


Let’s take the example of a small retail outlet of a supermarket chain. The shop may have dozens of sensors to capture data from customer traffic to temperature and humidity. For illustration, let’s assume the store has 30 sensors. That’s 30 times 60 values per second – because the sensor generates a continuous flow of real-time data at one or even more logs per second. To get the daily value, multiply the resulting value of 1,800 by 60 minutes and then by 12 hours. In our case, this comes to 1,296,000 values for a single store daily. Assume the retail chain has hundreds or thousands of stores around the country, and you begin to appreciate the scale of the data problem.


How Streaming Data Tools Bring Back Sanity

Streaming data tools have several features that help organizations ingest, process, and analyze streaming data.


  • Real-time event monitoring
  • Streaming data is often unstructured, making it difficult to process and analyze. Streaming data tools can
  • Streaming data tools can provide real-time alerts for
  • Streaming data tools can provide you with
  • These tools are
  • Streaming data tools must have
  • API-based Access
  • Streaming data tools have an
  • Finally, a good streaming data tool is

IoT is growing by leaps and bounds, with more and more devices being connected every day. This influx of data is both a blessing and a curse as businesses try to grapple with how to make use of all this information. If you’re looking for help sorting through all that data or need assistance developing an IoT application, Expeed is here to help. Contact us today to schedule a call.


expeed

Expeed Software is one of the top software companies in Ohio that specializes in application development, data analytics, digital transformation services, and user experience solutions. As an organization, we have worked with some of the largest companies in the world and have helped them build custom software products, automated their processes, assisted in their digital transformation, and enabled them to become more data-driven businesses. As a software development company, our goal is to deliver products and solutions that improve efficiency, lower costs and offer scalability. If you’re looking for the best software development in Columbus Ohio, get in touch with us at today.

Mobile Application Development

Building Mobile Applications using .NET MAUI

January 31, 2024

Building Data Pipelines with Azure Data Factory

July 5, 2023

Database

What is a Graph Database and How Can It Be Used in Application Development?

August 13 2024

Ready to transform your business with

custom enterprise web applications?

Contact us to discuss your project and see how we can help you achieve your business goals.