Factors to Consider When Migrating to Snowflake


A plethora of organizations across the globe are busy combating performance issues about traditional data warehouses. From scalability to elasticity, multiple technical disputes concerned with data and its configuration hamper their day-to-day operations, leading to various challenges. 


To solve these issues, organizations are moving to the cloud from traditional data warehouses to decrease administration overheads and streamline the overall flow of data. Moreover, by leveraging migration in cloud computing, organizations are also able to achieve the much-needed business agility. 
Snowflake is one of the most intelligent cloud-based data warehouses that provide decoupled architecture of data, thereby removing the need for data remodeling. It also enables amalgamated data to flow across multiple hybrid sources. Other benefits of migrating to Snowflake include complete SQL support, server-less architecture of data, and fortified union with various BI and ETL tools and techniques. Moreover, it is easier to maintain and run, which further adds to its credibility. 

If you have decided to move from your legacy data warehouse to the super-advanced data migration software – Snowflake, you need to consider the following factors:

BUSINESS-RELATED FACTORS

• Before your organization take up the migration project, ensure that there are no interruptions on functional as well as operational levels coming from within your business community. 

• Check your existing database thoroughly to exercise complete control over reuse data, database views, business logic, etc. during all the stages of migration. 

• Define a risk management strategy before you go forward with cloud migration. You must also plan a phased offload strategy well in advance besides all-inclusive substantiation of the migrated workloads. 

• Assessment of the existing data inventory is of great prominence when you are looking forward to migrating your data to Snowflake. This will help you determine the scale of the migration beforehand. 

TECHNICAL FACTORS 

• It is important to identify all the necessary entities, including queries, various workload habitats, and their relation, various types of workloads basis resource consumption, performance, run-time, and complexity. 

• Make sure to take advantage of automation facilities for  code transformation besides code optimization. 

• Check for a dual-running period and, after that, focus on legacy decommissioning. 

Since now you are acquainted with several business-related and technical factors that you must consider while transferring your workloads to Snowflake, go ahead and kick-start the migration process and let your organization enjoy the manifold benefits of Snowflake transformation. 

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