TECHNOLOGY DATA

AWS (Amazon Web Service) is a cloud-based service that offers unlimited storage, high computing powers, and content delivery. All these can be classified into silos, making it easy for businesses to estimate the costs of each service. AWS also enables seamless database migration between one cloud provider to another or from on-premises servers to the cloud and also between NoSQL databases, relational databases, and data warehouses. One of the most optimized methods to carry out database migration is to use the ETL tool for AWS.   ETL is an acronym for Extract, Transform, Load. This tool is primarily used to combine several data warehouses or databases into a single centralized data storage facility. The ETL tool for AWS first extracts the data from the source database, transforms it into a structure that complements that of the intended database, and finally loads the processed data into the target database. The whole process is fully automated without any human intervention a...

Oracle replication   is the mechanism that is widely accepted by organizations to distribute, share, and consolidate their data. It also enables creating, syncing, and distributing data over multiple locations. This attribute facilitates sharing of data with users or vendors, and consolidates data from various sources, either locally or globally. Oracle replication   also reduces the cost of data analytics with query overload through splitting up OLTP (Online Transaction Processing) and the generation of reports onto various systems. Oracle replication   helps users access information whenever needed. This is done through the creation of synchronized multiple copies of an Oracle database that can be used for testing, business reporting, backups for disaster recovery, and distributed data processing. The software also provides data in real-time so that businesses can enhance the performance of critical applications and databases and provide data across organizations for an...

Amazon DMS  is a platform based in the cloud, facilitating the migration of databases from on-premises systems to the cloud, between two cloud providers, or from relational databases, data warehouses, or NoSQL databases. Users can choose either one-time migration of databases from the source to the target or continuous data replication of all changes made at the source provided both are always kept in sync. Amazon DMS  replication software can only function when the source and the target databases are linked up so that it can identify from where to move the data and to which location. Next, the process that will move the data from the source to the target has to be defined. There are two types of database migration with the Amazon DMS. The first is Homogeneous migration, done when the database engines of the source and the target, the data types and codes, and the schema structures of the two are similar. Once a link is done, the full migration can be carried out in one shot. ...

  There is no better service than the Database Migration Service of Amazon Web Service ( DMS AWS ) to migrate databases from on-premises systems to the cloud or from one cloud provider to another. Organizations have two options before them in this regard – one-time migration of data between the source and the target and the second is continuous replication of all changes made at the source to the target. The latter can only happen if both the source and the target databases are always kept in sync. You can move data from data warehouses, NoSQL databases, or relational databases with DMS AWS . However, since this software is based in the cloud, DMS AWS can only function if a link is first established between the source and the target databases. This is to let the service know from where the data has to be moved and to which location. Further, which activity will be used to load data from the source to the target has to be defined too. What helps, in the long run, is that DMS ...

Is your business lagging behind in a hyper-competitive, data-driven environment? If yes, then this could be a sign of shifting your on-premise data architecture to a cloud-based data environment. Don’t worry if you have little to no clue on how to migrate your existing database system to the cloud. There are many ways to migrate on-premise data to a cloud platform. One such way is by using the Amazon DMS tool which is a cloud service making it easier for migrating data from existing sources to a destination in the cloud. DMS can support multiple data sources, including Microsoft SQL, Oracle, SQL Server, and SAP ASE. AWS DMS can easily migrate data ranging from all types of sources such as data warehouses, relational databases, and NoSQL databases among others. If your business is ready to leverage the power of the cloud for data analytics and computing, then it’s time to utilize the power of Amazon DMS for data transformation and migration. If you are looking for an easy and fast ...

 With the value of data increasing continuously, businesses are relying on faster, real-time, and scalable data architecture to stay agile and make better decisions. AWS (Amazon Web Services) is a popular and feature-rich cloud computing platform that is used by data-driven businesses and companies of all sizes. More businesses are moving to cloud-based data warehouse architecture from on-premise database management systems. However, deploying and migrating data analytics into the cloud has its own set of challenges. Fundamentally, the biggest one is the technical difference between on-premise and cloud data platforms. This is why you need an ETL tool for AWS for successful data migration from on-premise to on-cloud. Does this sound intimidate to you already? Well, ETL stands for Extract, Transform and Load and it is a process used for streamlining data integration in a cloud data warehouse. Put simply, ETL converts your business data into a language spoken by cloud-based comput...