At the highest level, the winner of a sprint is often decided by mere milliseconds. In today’s business environment, the slight difference in the availability of data can give you an edge over others.. Real-time data services are increasingly important to ensure a business stays competitive amidst the influx of information.
Real-Time Data Services Explained
Whether it’s business processes or customer engagements, businesses are increasingly relying on data analytics to provide better insights into decision making. Most organizations have no issues in getting the sources of the data, but face difficulty in having them delivered in a timely manner.
Real-time data services are IT infrastructures that gather, process, analyze and stream data with minimal to no lapses. For example, a product sold at a point of sales immediately updates the inventory and transaction database. But real-time data services do more than handling the sporadic number of transactions.
Today’s businesses are engulfed by the buzzword ‘big data’ which refers to an immense volume of data in various formats. Real-time data delivery involves segregating these massive chunks of information and making them intelligible to the respective receivers with zero latency. The process helps in removing bottlenecks in the data pipeline of an organization.
Often, business decisions are stalled or poorly executed due to the lack of information. This is solved by having the right business data infrastructure that promises fluid deliverables of data. Besides ensuring smooth business processes, real-time data are also essential in customer engagement. It’s much easier to build customer personas when you have the relevant data in place.
Examples Of Real-Time Data Services
The concept of real-time data delivery may seem intimidating, but chances are, you’ve already experienced the technology in action in daily life. For example, having a Skype meeting is a process of real-time digitalization.
If you’ve ever ordered fast-food delivery on an app, it’s a classic of real-time data services in action. Your orders are immediately appended to the backend of the app, which spurs the kitchen staff into action.
Your internet browsing behaviors are also crucial data that are delivered to online retailers to personalized your shopping experience. Think of how you’re targeted with relevant products on Amazon as the server got hold of your browsing history while you’re still on the page.
Implementing Real Time Data Services
The key to leveraging real time data services is in choosing the right architecture. In recent years, Apache Kafka, which was developed by LinkedIn, has proven to be an effective platform that handles real-time streaming.
Kafka has an ecosystem where streams of data from publishers are segregated and stored according to topics in partitions. Consumers, a term referring to apps or services that are dependent on the data, have real-time access to the stored information.
The implementation of Kafka has gained traction, thanks to its scalability, fault-tolerant, low-latency, and non-dependency of producers and consumers. It also helps that setting up Kafka is considerably simple for IT professionals.
Notable companies like Uber and Netflix have turned to Kafka to ensure real time data availability to the various modules within their ecosystem. If your business relies on timely and accurate information, you ought to consider setting up Axual Platform.
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