Introduction

 

In today’s data-driven, hyper-competitive environment, organizations and businesses need to move fast and respond instantly to consumer and business needs.

 

Generating insights from analyzing data in real-time and making data-driven, strategic decisions that power growth is a mission-critical need for modern day businesses.

 

Whether you are capturing transactions, managing consumer records or simply enabling real-time operations, the value of data is immense for any organization, irrespective of their scale or industry.

 

In order to stay on top of the ever-growing volume and complexity of data while leveraging the data stored to generate insights, businesses need cutting-edge, robust and smart tools.

 

When it comes to storing, managing and analyzing data better, organizations use many solutions, and Change Data Capture (CDC) is among the most popular ones.

 

Change Data Capture is a technique by which businesses using Microsoft SQL server as their database for collecting and storing data, can instantly capture the changes in real-time.

 

If you are a business who wants to leverage the power of CDC for making faster, better and real-time decisions, this post will answer all your questions in detail.

 

Be prepared to learn about SQL Server change data capture and how it can boost the efficiency of your data pipeline.

The need for CDC in SQL server

 

Before diving deeper into the process of enabling CDC in SQL server, it is important to learn about the use-cases and the need for it.

 

CDC is useful for updating databases, tables and records instantly at the rate of change which means that as soon as any change is made, CDC replicates it across the system.

 

When compared to trigger-based data updation and replication, CDC offers a more responsive and always-on approach which is beneficial for agile enterprises and companies.

 

With SQL Server change data capture businesses can easily capture incremental changes made to a source database and seamlessly replicate to a target database.

 

Here’s an example to understand the significance of CDC – imagine a team of data analysts performing data analysis using the available data in a SQL database.

 

In the event where a particular field, or class is updated or modified in the source table, the changes must be replicated to the destination from where the data for analytics is stored.

 

Without a process or a mechanism in place, it will be impossible to manually update each and every record or capture incremental changes as they happen.

 

This is where CDC comes into the picture as a way to capture and replicate incremental data changes within a specific period of time.

 

CDC can work on a trigger-based or a log-based mechanism, and you can decide to choose the most suitable type based on your needs.

 

CDC is highly useful for creating audit trails as a solution which can be easily configured to track and audit any type or scale of change as it happens..

 

Many organizations which rely on massive volumes of data storage and processing also utilize CDC as a data backup tool due to its ability to replicate data from source to endpoint.

 

If you are keen to implement Change Data Capture in Microsoft SQL server, you must be prepared to meet specific pre-requisites to ensure seamless integration.

 

There are numerous technical aspects and software constraints which must be considered to implement SQL server CDC.

 

The process can get messy, complicated and often requires specific coding for multiple steps from start to end.

 

Luckily, there are alternatives to doing things on your own, which in this case, are both superior and practical for enterprises and organizations using SQL server.

Leveraging no-code, automated solutions like Bryteflow

 

If your organization is in need of easy, simple and seamless implementation of CDC in SQL server, look no further than Bryteflow, a no-code, fully automated tool for the job.

 

Bryteflow offers a secure, seamless and user-friendly solution which is ready for loading and merging massive volumes of data, making the process a breeze.

 

With Bryteflow, you can be assured of enterprise grade speed and reliability, as it can easily automate SQL Server change data capture without having to write complex coding.

 

As a no-code solution, Bryteflow offers a capable, robust and feature-rich experience to help you mitigate the complexity and unwanted costs associated with the process.

 

Imagine saving the time, effort and resources by not having to manually code or install any additional hardware – with Bryteflow, you can easily choose from multiple CDC options and experience a high throughput, low latency solution.

 

It’s time to simplify SQL CDC implementation with Bryteflow[‘s no-code tool and transform your organisation’s data storage, management and analytics capabilities.

 

With its built-in multi-threaded configuration for data extraction, Bryteflow is amongst the fastest solutions that can handle terabytes of data in real-time.

 

Experience a better, faster and smarter way to implement CDC in Microsoft SQL server and enable your data analysts and administrators to build rich data pipelines.

 

Get your free trial today and skip the hassles and complexities of doing the task on your own or spending valuable time and resources on it