Technology

 Every business wants to stay ahead of the competition curve, and for that, it all comes down to making smart, data-driven decisions based on insights. To ensure data works for your business, it needs more than just storing and siloing data away in servers and hoping it would get you the insights you need. To truly unlock the potential in your data, businesses need to be real-time with their data. This is where change data capture comes into the picture. So, what exactly is change data capture? CDC is a set of processes used to record, insert, update and delete activity pertaining to a SQL data server table. Each time a change is made in a database, it is the job of the CDC to identify it.  Therefore, CDC is used to enable real-time data movement for use cases like - data migration, data analytics, and so on. It’s a powerful feature but can get overwhelming for data operators, which is where software like Bryteflow comes into the picture. Bryteflow enables SQL server change data captur

 Amazon Web Service Database Migration Service (AWS DMS) is based in the cloud and is optimized to migrate databases from on-premises to the cloud or from one cloud provider to another. It facilitates either one-time data migration or continual replication when the source and the target databases are kept in sync. AWS DMS is ideal to move data from relational databases, data warehouses, NoSQL databases, and more. Businesses today are focused on moving their databases to cloud-based platforms like Snowflake to get the most out of the environment. Some of the more common applications of Snowflake include data engineering, data application development, data lakes, and data science. The unique architecture of Snowflake ensures that users and workloads access a single copy of the data without any lag or drop in performance. Additionally, with Snowflake, it is possible to run data solutions across multiple regions and Clouds for an enhanced experience. There are several advantages of AWS DMS