Technology

 One of the most optimized cloud-based services ensuring smooth and seamless database migration is Amazon Web Service. It helps in migration between data warehouses, relational databases, NoSQL databases, and others. A very common and user-friendly resource used in these types of migration is the AWS ETL tool . The ETL (Extract, Transform, Load) tool is used to combine multiple databases for storing in a data warehouse or any other centralized database. There are three processes involved here. First, data is Extracted from a source, Transformed into a format that is most suitable for any organization, and then Loaded into the target database or any repository. One of the main advantages of the AWS ETL tool is that migration is possible at very affordable costs without any data loss. There is no need for DBAs to continually track the progress as migration with AWS ETL tool is fully automated. The best tools here for AWS are AWS Glue and AWS Data Pipeline. There are several benefits ...

 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 da...