IoT is the new demand, or we can say the requirement of technology. The changes, disruptions, upgrading, business demands, customers’ demand, everything queues to urge for the adoption of IoT. However, the adoption of IoT isn’t profitable until you are not stirring the best out of it. Nowadays, the most discussed topic in IoT is IoT real-time data streaming process. IoT data streaming is essential as it provides real-time decision making that is significant to many operations. An organization should have tools to accumulate data from sensors and devices then process it and transfer it to the database for analysis and real-time results.
Data streaming enhances performance and saves from the upcoming mishap as it sends alerts that prompt interference. For example, in a refrigerated truck, if a sensor reads a decrease in the required temperature, then IoT real-time data streaming and AI models will provide alert that the needed temperature is disturbed and it might cause the spoilage of the product.
Why organizations need IoT data streaming?
Well, data streaming is required to attain smooth operations and to get prepared for future challenges. It allows organizations to take prompt decisions and actions.
In short, Organizations use IoT data streaming for:
Not just this, real-time data streaming also improves the organization’s competitive position. Let’s check an example of a clothing store. Today, some of the clothing stores are installing smart mirrors in their shops to provide better customer experience. Through smart mirrors, potential customers can virtually try on different dresses or items or get a specific look without any hassle of physically trying them on.
As per the market researcher MarketsandMarkets, the streaming analytics market may grow from $12.5 billion in 2020 and extent to $38.6 billion by 2025 at a compound annual growth rate of 25.2%.
IoT applications and expansion of GPS and geographic information systems that are used to monitor, trace and map events in real-time is essential pillars of data streaming process.
Do you know how the data streaming process runs?
The data streaming process involves three components: software, an operational database and an analytics engine. The operational database runs in real-time, whereas analytics engine extracts the data to provide insights.
For first-time data stream deployment, organizations gather all the three crucial components, which need awareness with the process steps and understanding of the complexities of the tools which are used in each step of the operation.
The first step involves ingesting the IoT data using some message streaming software or message brokers like Amazon Amazon Kinesis Data Streams or Apache ActiveMQ.
Once the ingestion is completed, in the next step ETL tool, i.e., extract, transform and load tool prepares the data for import into an analytics database. This type of process is typically an operational database based on a SQL platform. Organizations must create real-time analytics and machine learning models and applications to obtain useful business insights from gathered data.
It is noticed that many IT departments adopt this methodology, but with the emergence of the latest technology, there are many automated methods and platforms. There are data streaming and analytics services or platforms which simplifies the architecture and mechanics like Splice Machine SQL database and Confluent Platform or machine learning models.
What are the four best data streaming practices?
Organizations that build their process from the start and are looking for an off-the-shelf offering should check the following four best data streaming practices.
Well, to churn profits from IoT, it is necessary to know how to efficiently use it. IoT, along with other technologies, allows you to get a clear vision through data. The useful data enables you to take prompt decisions, and actions to stop the looming loses and mishaps. The IoT data processing is the best way to enjoy the best of IoT and make business operations smooth and efficient. Connect reliable and proficient IoT service providers to know more about IoT, get idea and services for IoT data processing. Your business needs IoT touch; don’t waste your time anymore. Connect us.