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 crucial role in almost all facets of running a business.
Therefore, it’s essential to be able to deal with vast amounts of data efficiently without sacrificing data quality.
However, the more data you have to manage, the more time and resources you must dedicate to maintain quality.
Not to mention the long time it would take to make the latest version of the data available to everyone who may need access.
This makes continuous data integration critical, 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, resulting in customers becoming dissatisfied and your business losing revenues.
These are only a few of the problems involved in dealing with vast amounts of data, which can quickly 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 complete data import or export for every update, there is less downtime, resulting in 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 update its stocks, customer payment details consistently, 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 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
To maintain a competitive edge, organizations must learn to appreciate the value of real-time data and its inherent characteristics, including 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. However, they are also required to read, analyze, and produce data values in real-time 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 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. However, these suffer from issues like the lack of on-demand data access features, long deployment, and limited error handling and recovery mechanisms availability.
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.
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