Introduction
Collecting, analyzing and updating data is an essential part of every modern day business, irrespective of whether they are a large scale enterprise or a startup.
Data is the backbone of application, processes and experiences and is the fuel which powers the growth and profitability for businesses.
Organizations rely on accurate, up-to-date and real-time data to make decisions, generate insights and deliver personalized experiences at scale.
To achieve better productivity, higher accuracy and improved quality of insights, businesses are constantly looking for newer, feature-rich and faster database management solutions.
With data playing an integral role to the success of modern businesses, managing, storing and updating data is a huge priority for many businesses.
Since data is constantly evolving and changing with growing data volumes, the process of loading, storing and transforming data can become complex and sluggish over time.
This is where CDC (Change Data Capture) comes into play as a way to streamline the tasks of identifying, tracking and replicating the changes made in a database in real-time.
Oracle CDC identifies and captures data added to, updated and deleted from tables making the details of the changes available in an easy, consumable format.
With CDC, organizations can easily track changes to tables and store them to a change table, which then can be used by an ETL (Extract Transform Load) process.
Due to real-time sync capabilities, CDC is an efficient data replication technique that can scale seamlessly with time. In this article, we are going to learn more about it in detail.
How does Change Data Capture work?
There are three ways in which Change Data Capture (CDC) works – Log based CDC, Trigger based CDC and using a Custom CDC script.
Change data capture works on two pillars – publishers and subscribers. Publishers are the users who commit a change to a database and subscribers are users or applications who make use of the updated data.
Primarily, there are two ways to capture and update changes in data – synchronous and asynchronous.
In synchronous mode, the changes made to a database can be captured immediately as soon as a trigger action such as insert, update and delete takes place on the source database on a real-time basis.
In asynchronous mode, database changes are captured only after the SQL statement that triggered the data update gets executed but not in real-time.
Advantage of Change Data Capture
There are multiple benefits of using CDC for data replication and updation such as:
- Flexible: CDC is completely adaptable to any type of changes made in the database and table schemas, ensuring updates can flow between publishers and subscribers.
- Cloud Ready: CDC moves in real-time, enabling businesses to move data across networks on cloud.
- Faster: CDC makes bulk updates of a database, resulting in a lower number of replicated data points compared to an alternative replication method. Thus, it is faster as a synchronous data.
- Fewer resources required: CDC relies on logs for copying data, it is often used for moving data from production to analytics database. This replication process does not demand additional resources from a production database.
- Low network bandwidth : CDC works as a single point of source hence it reduces the volume of transferred data over a network. This unburdens the network operations leading to freeing of bandwidth.
As evident, if you rely on data to make decisions and generate business insights, it is important to leverage the capabilities of CDC to get the most out of your data.
However
How Bryteflow can help you embrace the power of CDC
Modern businesses and applications rely on accurate, real-time and rapid availability and access to data, and this is where Bryteflow can meet your needs.
Bryteflow’s real-time, fully automated configurable data extraction and loading provides high performance real-time data replication, making it an ideal solution for data extraction, loading, merging and masking.
Bryteflow’s Oracle CDC enables you to easily replicate data with zero impact on source with the help of a simple, plug-and-play interface and no need of coding knowledge. It supports multiple Oracle versions and also covers future releases to give you long-term coverage.
As a business, you do not require any special software or hardware installation or any third-party integrations – everything from extracting, merging, and replicating data across multiple sources is done in real time within Bryteflow’s automated environment.
One of the most seamless, scalable and robust ways to harness the power of CDC, Bryteflow offers enterprise-grade security and guaranteed uptime to give you complete peace of mind.
