Why Should You Replicate Data from Oracle Database to Snowflake

 Oracle is a Database Management System while Snowflake is a fully managed Data Warehouse. Replicating data from Oracle to Snowflake provides organizations with data-driven insights and solutions.

Oracle Database is a popular Relational Database Management System for storing, organizing, and retrieving data. With its built-in enterprise grid computing feature Oracle offers a cost-effective and flexible approach to data and applications handling.

Snowflake is a popular and fully managed data warehouse based in the cloud and is available as a Software-as-a-Service (SaaS) to clients. The “fully managed” term means that users do not have to take care of back-end activities like server installation and maintenance.

Now, why should databases be replicated from Oracle to Snowflake?

Many organizations replicate data from Oracle to Snowflake not only for the excellent scalability but also because of the other cutting-edge benefits of Snowflake over traditional Oracle environments. Here are some benefits of replicating data from Oracle to Snowflake.

•Snowflake provides high computational powers. Even when multiple users are simultaneously executing intricate queries, there will not be a lag or drop in performance as the capability of the Snowflake instance can be changed dynamically.

•One of the critical reasons for replicating databases from Oracle to Snowflake is that it is a fully managed service. Hence, major analytics projects can be run with minimal engineering resources and without human intervention.

•Snowflake provides unmatched agility and elasticity in the utilization of storage resources. Users can scale up and down and pay only for the quantum used.

•Users work seamlessly on Snowflake with semi-structured data which in Oracle is almost impossible.
These are the reasons why replicating databases from Oracle to Snowflake is a preferred option.  

Comments

Post a Comment

Popular posts from this blog

Migrating Database Oracle to Amazon S3 with AWS DMS

Image
 Amazon S3 (Simple Storage Service) offers unlimited and affordable storage facilities and is at the heart of data lakes in Amazon Web Service (AWS). A very popular source of data lakes is the Amazon RDS (Relational Database Service) for Oracle databases. However, there are certain conditions for Oracle to S3 with AWS DMS. The target S3 bucket and AWS DMS have to be in same location where migration is to be carried out. There should also be an AWS account and an Amazon RDS for the Oracle database.  Follow these steps for Oracle to S3 migration. First, create an AWS Identity and Access Management (IAM) role to get to the target S3 bucket. Next, prepare the source for replicating Amazon RDS for the Oracle database. Create endpoints for AWS DMS instance as well as for a full load activity. Finally, have a CDC (Change Data Capture) task in place. Ensure that Amazon RDS and the Oracle database are used both in the same Region and the target S3 bucket. How to optimize AWS DMS Oracle to S3 o
Read more

Migrating Databases with AWS Database Migration Service

Image
 Amazon Web Service Database Migration Service (AWS DMS) is a cloud-based platform that assures easy and quick migration of databases to the Amazon Web Services. It may be migration from on-premises servers to the cloud or from one cloud provider to another. A very critical aspect of AWS DMS is that the source database remains functional during migration without the need for downtime. This is very convenient for large enterprises as it might be inconvenient to shut down their systems for any length of time. Further, with AWS DMS, databases can be moved from common and open-source ones. Data can also be replicated continually with high availability. Several databases can be consolidated into one petabyte-sized one with AWS DMS by streaming data to Amazon Redshift or Amazon S3. All these aspects make data migration with AWS a very attractive option.  There are two methods of database migration with AWS DMS.  One is Homogeneous database migration which is done when the engines, the data
Read more