Data Solutions

The Database Migration Service of Amazon Web Service ( DMS AWS ) is an optimized cloud-based platform for migrating on-premises databases to the cloud or from one cloud provider to another. It can either be one-time data migration or continual data replication between the source and the target database for which it is necessary for the two to be always kept in sync.   Since DMS AWS   is software that operates in the cloud it is essential to first establish a link between the source and the target database so that it can identify from where the data has to move and to which intended target. In the next step, the activity that will load data from the source to the target has to be defined.  DMS AWS is a fully-automated process, handling the complete migration process without any human intervention. This holds even when the keys and the tables needed for migration are not present in the target database. In such cases, tables, indexes, views, and triggers have to be created i...

Amazon DMS (Database Migration Service) is a cloud-based platform that optimizes data migration from on-premises servers to the cloud, between one cloud provider and another, and also data warehouses, relational databases, and NoSQL databases. Migration may be a one-time activity or continual data replication between the source and the target database provided both are continuously kept in sync. There are two types of database migration with Amazon DMS. The first is Homogeneous Migration. Here the database engines of the source and the target databases along with the data types and codes and schema structures are the same. Database migration here is a fairly straightforward process where the whole source database is moved to the target in one shot. However, for that to happen, a link has to be established first between the source and the target so that Amazon DMSis aware of where to move the data and to which point. Some examples of Homogeneous Migration with Amazon DMS include Or...

SQL is short for structured  Query Language and is used to search, insert, update, and delete database records. It is the standard platform for interacting with Relational Database and other operations that can be carried out including optimizing and maintaining the databases. In the past and before SQL migration was  introduced, almost all applications functioned in a standalone environment with a single server responding to multi-user activity from various locations. This led to multiple complications like performance problems, availability problems, and maintenance issues. Now, SQL migration can  take care of these issues and maintain database copies at multiple locations.  SQL migration is a very effective process that ensures organizations can increase both the performance of SQL databases and the availability of information. It helps businesses to combine and move data into data warehouses, copy and distribute data across multiple database servers in remote ...

Database Replication is the activity of storing data in several locations so that the current database version can be accessed from any remote point. For this, data has to be copied from one server to another for sharing across regions. The main use of data replication is disaster recovery where an outage in one location automatically triggers servers in secondary locations for uninterrupted work. Also, the existence of a data backup close to the user speeds up and reduces network loads. Oracle database management system has been very popular for decades and for organizations, one of the most optimized ways to increase operational efficiencies is through O racle data replication. The need for O racle replication Oracle replication helps to seamlessly share, distribute, and consolidate data and ensures that organizations can share it with partners and vendors across various locations. O racle replication is used for creating multiple copies of a database that are all synchronized f...

Among the many services provided by the cloud-based platform AWS (Amazon Web Service) is the migration of data between relational databases, data warehouses, and NoSQL databases. And one of the most optimized tools for doing so is ETL in AWS. ETL is short for Extract, Transform, Load and is primarily used to combine several sources of data into a single data warehouse. In ETL in AWS, data is first extracted from the source, then transformed to match the data architecture of the target database, and finally loaded into the intended location which is a data warehouse or other storage repository. There are several benefits of using ETL in AWSfor database migration. First, there is no need to install and configure additional drivers and applications for database migration nor should the structure of the source database be changed. This is because migration with ETL in AWSis started directly through the AWS Management Console. All changes to the data at the source are replicated to the targ...

Amazon Web Service (AWS) is a cloud-based platform, that among other services facilitates database migration from on-premises databases to the cloud or from one cloud provider to another. The most optimized tool for this purpose is AWS ETL. ETL is short for Extract, Transform, Load, and the tool is mainly used to combine several databases into a centralized data storage repository or a data warehouse. There are three ways that the AWS ETLtool functions. First, the data is extracted from the source database. In the second stage, this data is formatted to match the architecture of the target database. Finally, this processed data is loaded into the intended database. The whole activity is fully automated, thereby doing away with any possibility of errors or data loss arising from human intervention. There are several benefits of AWS ETL. There is no need to install additional drivers or make any changes to the source database when using AWS ETL. Migration is initiated directly from...