Put Your Data in Motion with Confluent

Streaming data can be a tricky thing to handle owing to its constant generation in small sizes. Such data needs to be processed in real time as it enters the system.

According to the State of Data in Motion Report, more than 80% of business organizations consider dynamic data essential for improving business processes and customer experiences (Confluent, 2022). Continuous data can undoubtedly be a valuable asset for business enterprises if it is utilized to its fullest potential. And Confluent is just the right tool to materialize this phenomenon.

What is Confluent?

Confluent was originally created on Apache Kafka on LinkedIn, and it has gained immense popularity ever since. Confluent allows dramatic increases in availability, integration, and coordination between the different data systems, applications, and departments of an organization.

It is basically a data streaming platform that enables seamless event streaming or universal data accessibility of the flowing data coming from multiple sources. This ultimately makes business operations up-to-date and customer experiences rich (Eyad, 2022).

Why Confluent?

The cloud-native Confluent provides serverless services that are not only cost-effective but also easily manageable and highly scalable. It has eliminated the need to keep databases on premises to handle the operational data. The followings are the reasons why organizations across the globe are increasingly eager to get Confluent services for their businesses.

Realize the True Potential of Data in Motion

Confluent sees the streaming data as the backbone of any enterprise. It provides a holistic solution for the scattered data at multiple places throughout an organization. After all, what is the use of data if it cannot be consumed when needed? By integrating data sets that originate from different places and in various formats, Confluent boosts the growth and performance of all departments.

Easy Application Migration

Although the cloud is the future, organizations find it quite hard to undertake the process of moving applications to the cloud due to the complexity of the process it involves. However, the good news is that Confluent makes things a lot easier by developing a bridge between on-premises datacenters and the cloud in the form of cluster links (Luke Knepper, 2022).

Multi-cloud environment

Confluent supports a hybrid model that involves more than one public cloud. This eventually enables Confluent to ensure maximum delivery, distribution, and transformation of applications and services. Therefore, one can suggest that by adopting Confluent, business enterprises take a big leap towards digital transformation.

Improved Customer Service

Confluent brings about efficient and responsive customer service by eliminating the siloed approach common to many organizations. There is no need to keep all the data sets updated and on the same page. Confluent can do that for you. It actively obtains demographic data and data related to customer engagement and support to ensure better offers, personalized suggestions, communication, and individual account management.

Scalable Microservices

Microservices are applications that are based upon a confluence or collection of different services. The services provided are largely decoupled, independently deployable, and tailored to the unique organizational goals. Confluent allows the provision of microservices that are highly scalable and agile. It achieves this by deploying a highly independent architecture with proper communication channels and standardized schemas. Not to mention, Confluent does not require that data sets be separately kept for the purpose.

Fraud Prevention & Detection

Confluent presents a resilient and effective fraud handling system as it breaks the siloed system by making data universally accessible. Gone are the times when data to combat fraud used to be maintained separately, that mostly rendered it useless. Now, systems can detect, prevent, and combat fraud in real time.

Optimize Kafka Performance

It is said that Confluent completes and complements Kafka — a single source of truth for many modern organizations. It has enhanced its scope by increasing its connectors and security. Confluent allows multi-language development, steaming databases, global resilience, and flexible automation. Confluent has also made the open source Kafka globally available and eliminated the need to set up its systems on premises.

Data engineers and scientists at Royal Cyber Inc. have been using Confluent to meet their needs regarding managing the data streaming through the organization. In addition, confluent has improved its customer service and fraud detection immensely.

Final Thoughts

Confluent puts in place a uniform data layer across the organization that brings integration and consistency to the system. It also ensures real time data availability possible for the users. It goes without saying that with its cutting-edge technology, Confluent is acting as a foundational platform for event streaming and has benefitted the customer service sector the most.

Author bio:

Hassan Sherwani is the Head of Data Analytics and Data Science working at Royal Cyber. He holds a PhD in IT and data analytics and has acquired a decade worth experience in the IT industry, startups and Academia. Hassan is also obtaining hands-on experience in Machine (Deep) learning for energy, retail, banking, law, telecom, and automotive sectors as part of his professional development endeavors.