Data exchange is part of a business like the nervous system inside our organism. Like the nervous system, a data exchange system acts as the control center which determines and monitors all actions and inputs as well as providing the processing and memory functions. 

An example of a real-time da exchange system in the real world

The growth of digital technologies demands the possibility of data flow in every possible direction. Perhaps the best analogy of the dynamism of data infrastructure is a food delivery app like Uber Eats. 

When a customer places an order, it is sent to both the restaurant and rider, while being recorded by Uber Eats’s server. At the same time, payment is processed via a secure channel and is logged by the financial institution.

The information flows in multiple directions within a split-second. There is no room for mistakes, as a delay or an issue at any point in the process can affect the entire operation of the business. 

5 Common Challenges in Building a Data Exchange Infrastructure

There is no doubt the future of industries lies in capturing the power of data, whether in market expansion or operational strategies. Companies will continue to engage with IT experts to adopt data infrastructure capable of managing huge volumes of information.

However, the task isn’t a walk in the park.

Often, IT teams are faced with these issues: 

1. Latency in data delivery

It will be incorrect to state that big data fuels the growth of businesses. Today, it is ‘real-time’ data that is key to edging from a pack of competitors. For example, financial apps return the prices of stocks in real-time, and Uber Eats wouldn’t be able to afford a bottle-neck situation during peak hours. Accessing and processing data as it is generated is and will be key to digital innovation. 

2. Managing different sources of data

IT architects are no longer working with pre-defined, rigid sets of data. In an ever-changing environment, a data exchange infrastructure must be capable to handle both structured and unstructured data from internal and external sources.

3. Data governance

You’ll also have data governance challenges as a stumbling block in data exchange. Questions like “can the data be trusted” and “what’s the quality of the data’ must be addressed when adopting an infrastructure. If data governance is compromised, the result from which the data is based will also suffer. 

4. Skillset

Developing a data exchange infrastructure requires different skillsets than building end solutions that make use of the data. Your IT team could be proficient in the latter but lack experience in the former. Particularly, cloud infrastructure management, specialised skills, and site reliability engineering are some of the most in-demand IT Ops will need to master to be able to transform and evolve alongside the business.

5. Support and ongoing monitoring

Data exchange infrastructure requires on-going maintenance, and this means having access to monitoring tools. Even with reliable software like Apache Kafka, high-level monitoring tools like graphs and charts are missing and third-party solutions need to be taken into account.

Why should you choose Axual as your nervous system?

Axual recognizes the challenges faced by IT teams in managing and integrating real-time data sources. Our team has built a solution based on Apache Kafka, but with added functionalities that provide high-level tools for monitoring and configuration.

Data governance is no longer an issue with Axual, and with the support from our experts, your team can focus on building the end applications. Besides, it is convenient to start with our platform’s pay-per-use pricing than investing in a full setup. 

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