All kinds of businesses deal with data, both from within and outside the organization. From the smallest sales targets to the continuously fluctuating market performance, data plays a key role in almost all facets of running a business.
It’s important, therefore, to be able to deal with huge amounts of data efficiently without sacrificing data quality.
However, the more data you have to manage, the more time and resources you have to dedicate in order to maintain quality.
Not to mention the longer time it would take to make the latest version of the data available to everyone who may need access.
This makes continuous data integration a critical matter, especially now that many businesses virtually don’t have any off-peak hours due to expanded services.
These include those that deal with online applications where customers can transact anytime, anywhere. If the correct information is not readily available, these transactions will not go through, and this could result in customers becoming dissatisfied and your business losing revenues.
These are only a few of the problems involved in dealing with huge amounts of data, which can easily be addressed with change data capture or CDC.
High-Quality Data All the Time
Continuous data integration with CDC means that you are consistently producing quality data. Because there’s no need for full data import or export for every update, there is less downtime which results into more efficient productivity on the business end and a better overall experience on the consumer end.
Ensuring data quality is especially important when working on datasets with multiple contributors to or users of a central data warehouse.
For example, an online shopping platform needs to consistently update their stocks, customer payment details, and order and delivery status, among others, to ensure that the shopping experience will be hassle-free for anyone, from anywhere.
With CDC, you don’t have to pull the store’s entire inventory data just to update the information of just one or two products. Determining and tracking only the data that has changed makes the process quick and very efficient.
Real-Time Data, Real-Time Response
In order to maintain a competitive edge, organizations must learn to appreciate the value of real-time data and their inherent characteristics, including the fact that they move consistently and may come from multiple sources. Historical data, while valuable, may not be enough for a comprehensive competitive analysis. CDC can provide close to real-time data replication, providing the latest data for analysis and action to all parties that may need it. Many organizations and businesses record a large influx of data and also require to read, analyze and produce data values in real time, however with large amounts of data, these processes could benefit from Stream processing powered by Apache Flink – Ververica or similar data processing software.
This benefit is immediately visible to companies that provide essential services like electricity and communications.
By leveraging continuous data integration with CDC, maintenance teams can ensure that there is little to no occurrence of service interruptions. They can continuously create new processes and improve on existing ones based on the latest actionable data.
Meanwhile, customer service teams can readily respond to consumer questions with the most accurate information, which helps manage expectations and minimize negative feedback.
Traditional data movement tools like ETL and ELT continue to be popular, though these suffer from issues like the lack of on-demand data access features, long deployment, and the limited availability of error handling and recovery mechanisms.
ETL and ELT on their own also have difficulties in keeping up with businesses’ ever-changing requirements. However, by augmenting these systems with CDC, organizations can save on time and costs even as they acquire the additional benefits of a change data capture system.