Benefits of Replicating Data to Snowflake

 

Data replication is the process where several copies of the same database are made and stored in different locations, thereby improving accessibility across a network. Data replication can be performed on individual systems as well as servers and this data can be stored in either the same system, off-site, or a cloud-based provider such as Snowflake. Most database technologies like Microsoft SQL Server or Oracle database have in-built replication features.



What then are the benefits of data replication to Snowflake, a cloud-based data warehousing solution?

First, Snowflake offers unlimited storage and computing facilities where users can scale up or down in data usage by paying only for the quantum of resources used. Further, Snowflake is a high-performing solution and multiple users can work simultaneously on multiple intricate queries with any lag or drop in speeds.

With Snowflake Database Replication, organizations can replicate databases and keep them synchronized across different regions with multiple accounts and cloud providers. This ensures data durability and integrity always.   

But by far the most critical benefit of data replication to Snowflake is seen when an outage occurs, thanks to the Snowflake Database Failover feature. In the case of a massive disaster that disrupts cloud services in one region, the secondary replicated databases in another region or cloud provider are automatically triggered to ensure continuity in business operations without any downtime. When the outage is resolved the Failover feature work in the reverse direction and the primary database is updated with all changes done during the outage.

Unlike other backups that take hours or days to be restored fully, the same activity in Snowflake happens in real-time instantly. This is the most optimized benefit of data replication to Snowflake.     

 

 

 

Comments

Post a Comment

Popular posts from this blog

AWS Support to Migration of Databases to S3

Image
  In July 2019, Amazon Web Service Data Migration Service (AWS DMS) announced the launch of a service that would support the migration of data from any source in AWS Apache Parquet data format to S3. The data migrating feature AWS DMS CDC S3   is available in the 3.1.3 version of DMS. S3 is generally used to support DMS while creating data lakes. This data can be used with a wide range of AWS such as Amazon Redshift Spectrum, Amazon EMR, and Amazon Athena. It has been a long-standing demand by users which has now been accepted by AWS with the launch of AWS DMS CDC to S3 . Why do businesses migrate data from AWS DMS CDC to S3? There are several benefits to it. It provides cutting-edge data security, data availability, performance, and scalability which means that organizations can use the S3 for storing and protecting unlimited volumes of data in the cloud. This includes databases with mobile applications, enterprise applications, websites, protection to unlimited volumes...
Read more

Make Amazon Redshift as AWS DMS Target Database

Image
  Amazon Redshift database is a data warehouse solution based in the cloud. With Amazon Database Migration Service, you can migrate data from supported databases keeping Redshift as the target. However, it is essential to ensure that the AWS account and the AWS region form a part of the same Redshift cluster. The first step in DMS REDSHIFT database migration is to move data to an Amazon S3 bucket with AWS DMS. Once the files are located in the S3 bucket, the Amazon S3 automatically transfers the intended tables to the Amazon Redshift data warehouse. The S3 bucket, as pointed out previously has to be in the same AWS Region as the Amazon Redshift database. However, when AWS CLI or DMS API is used for DMS Redshift migration, an AWS Identity and Access Management (IAM) path have to be set up to get access to S3. Amazon Redshift provides automated processes in the following cases. ·         Modifications made at source tables by incremental dat...
Read more

Features and Functions of Software for Data Replication

Image
  Data replication is the activity where several copies of the same data sets are made and stored in different locations, thereby allowing easy data accessibility across the network. The replicated data can be stored on-site or off-site, in the same system or cloud-based locations. Data replication is so critical that major database technologies such as Microsoft SQL or Oracle database have in-built systems for this activity. Data replication takes place in two ways. One is asynchronous that carries out replication when the Commit statement is issued to the database. The other is synchronous replication where any change that is made to the data at source will be automatically replicated to the data at target. One of the most optimized methods to carry through this process is to use a very effective data replication software . The advantage of the software is that it helps to quickly create a replica of the database at source to a location that is completely independent of the s...
Read more