Data Work

Database replication is the task of storing data in several locations, both local and remote so that the current database can be accessed from any point. Data is replicated from a server to be shared across regions. The main benefit of database replication is disaster recovery. When an outage occurs in the primary server, the secondary servers where data has been replicated are automatically triggered and there is no break in work. After the issue is resolved the primary server is updated with all records that occurred in the break period. The mechanism that is greatly used by various organizations  to distribute, share and consolidate their data is Oracle replication . It helps in creating, distributing, and syncing data over multiple locations so that consolidating data from various sources and sharing data with users and vendors can be done easily and seamlessly either globally or locally. The cost of data analytics with query overload by splitting OLTP and the generation of repo

In July 2019, an announcement was made by tech giant Amazon that from then on, AWS DMS (Amazon Web Service Database Migration Service) would offer support to database migration done through AWS DMS S3 ( Simple Storage Service). Traditionally, S3 has been used as the target for database migration while creating data lakes. This data is later used by various services of Amazon such as Amazon EMR, Athena, and Redshift Spectrum. For a long, users have wanted a system that would help database migration to S3. The launch of AWS DMS S3 fulfilled this need. There are several reasons for migrating databases with AWS DMS S3 and users can avail of all the benefits of a cloud-based service. First is the unlimited storage facility provided on S3. Any additional storage required during migration can be downloaded in minutes by paying only for the volume of resources used. In traditional databases, flat fees are charged for storage. Hence, S3 is a very cost-effective proposition. Next, S3 provides h

AWS DMS (Amazon Web Service Database Migration Service) is a service that operates in the cloud and is perfect for migrating databases from on-premises servers to the cloud and between relational databases, data warehouses, and more. Hence, for migrating databases to Snowflake, a cloud-based data warehouse, AWS DMS is the most preferred option for organizations. So, why should you use the AWS DMS to Snowflake service? The first point is that it pays to migrate databases to Snowflake, a cloud-based data warehouse, because of its in-built capabilities of unlimited data storage and high computing powers. Snowflake has a pay-as-you-go model and users have to pay only for the data storage resources used without any flat fees. Further, by migrating databases with A WS DMS to Snowflake , multiple users can simultaneously execute intricate queries without facing a drop in performance or database speeds. Click here for more information on AWS DMS to Snowflake. A very critical reason for migrat

Let’s examine why data replicating software is very critical in the modern data-driven business environment. The most important reason is that it is very necessary to have copies and backups of databases so that they can be used in case of a data breach, outage, or data loss. Even though taking a snapshot of a database sounds like an easy solution to this issue, the downside is that source databases are continuously inputted with incremental data that has to be moved to target databases. It is here that replication software comes in handy as it continuously moves changed data to the intended databases provided both the source and the target are always kept in sync.  An optimized replicating software can replicate data for storage at various locations that can be accessed remotely by users. This is very useful in case of an outage or crash of the primary server as in such cases, secondary servers in remote locations where data has been replicated are automatically triggered and work

Database replication is the process of copying data from a central database to one or more databases. The publisher is the source database from where the data is moved and the subscriber is the target database to where the data is moved. A benefit of data replication is that all users have access to the same set of data even if they are at remote locations. However, this replication process is optimized only if the best database replication tool is used.   Several functions are supported by the database replication tool including data security, disaster data recovery and resilience, and business continuity. database replication tool helps not only replicate the entire database but also updates all changes made at the source databases. Attributes of a Database Replication Tool The most advanced replication tools ensure data policy compliance, continuous data replication with negligible data loss, and recovery and failover of data at all times. They can also track changes in the source

PostgreSQL is one of the most common open-source relational databases and is preferred as a platform for use cases ranging from data warehouses and analytics to OLTP workloads. However, often,time-bound reporting needs do not match the hourly or daily batch sync between these databases. The most optimized solution, in this case, is to have continuous sync with Change Data Capture, a software design pattern that tracks and monitors changes made to a database so that the required action can be taken on them. There are several benefits of the PostgreSQL ChangeData Capture. It keeps data warehouses and other downstream systems in sync with PostgreSQL by capturing changes in real time. Next, PostgreSQL Change Data Capture  reduces the load on PostgreSQL since only the relevant changes are processed. Finally, efficient implementation is ensured of use cases that require access to changes made in PostgreSQL without modifying the application code. Types of PostgreSQL Change Data Capture Tr