Spending more costs on database maintenance, operations, administration, and unused compute resources & storage? Or facing performance bottle neck when multiple users access data platforms and while sharing data to business partners or third parties?
If your answer is “YES”, then it’s high time for your organization to migrate to the Snowflake platform. Snowflake platform powers data cloud on which organizations can store, access & manage their enterprise data. Our customers are happy with fully managed Snowflake service that ensures data governance, security, and ACID-compliant transaction integrity. Beyond the cost savings, you need to consider Snowflake for its advanced features, scalability, and resilient nature. Snowflake is not only a cloud data platform, with Snowflake 2.0 it’s a 360-degree data platform where you could perform various data workloads, advanced data analytics like handling unstructured data and machine learning processing.
In this blog post, we would take you through the strategies and process of snowflake migration!
Businesses have different requirements when it comes to data warehouse migration. Majorly, it can be categorized as “move as is” & “enhance & move”.
When the client decides to migrate their legacy databases without any changes to Snowflake cloud data platform, we plan for downtime and cutover the existing legacy systems. In case of high-volume data, we plan for incremental loads and then cut over legacy systems to ensure minimal downtime.
If the client needs to enhance the data structure and proceed with migration, then our team suggests parallel data warehouse operation and slow cut over of legacy system with minimal business impact to downstream applications.
Here’s our simple 5 step roadmap for the Snowflake migration process!
No matter what your on-premises data warehouse is; Oracle, SQL Server, Teradata, etc., our team analyses the existing architecture and takes the inventory. Successively, we do analyze the data sources to integrate them into the Snowflake platform.
We identify the data pipelines, their complexities, and further assessments for business processing. Based on our keen analysis of your current data warehouse, we propose the best-suited future architecture model in the Snowflake platform.
At this phase, we plan the complete roadmap of processes for your enterprise Snowflake migration. Further, we categorize the entities that requires reengineering for target integration and work around their technical aspects.
Our team segregates the data sets and prioritizes to load critical data sets primarily at the staging location in any public cloud platforms like AWS/Azure/GCP of your choice. Based on the aspects of reengineering, we suggest you the best approach for the initial load. You can choose between the online (Cloud Data Migration Services)/offline (AWS Snowball/Azure Databox/Google Transfer Appliance) initial data load based on your business requirements and budget. We’re flexible with your preferences!
After validating the data model and planning the migration approach, we workaround prerequisites for snowflake migration. Our team suggests ELT processes for its enticing transformation capabilities. AVASOFT data science team values your time, and we have customizable prefabs to make the data migration quick and simple.
If your data warehouse possesses medium & complex data models, we do design and develop migration scripts as per the needs. We craft appropriate mapping documents that matches legacy database inventory to ensure successful migration. We’re done with the migration of the data model structure to the Snowflake platform!
On successful migration of data sets to the Snowflake platform, our team performs regression testing and fixes the issues. While freezing the migration & fixes, we start with incremental data loads to the Snowflake data cloud. We then proceed with re-engineering of complex data flows with appropriate design and development. As our team has hands-on experience in both Snowflake and legacy platforms like SSIS, Informatica, Oracle PL/SQL, we could easily walk you through this remediation phase. If our clients step forward to collaborate with us on remediation phase for future maintenance of Snowflake platform, we’re happy to share our strategies and expertise to your teams.
Finally, we cut over the connection of data sources from your legacy data warehouse and integrate them with your enterprise Snowflake data cloud platform!
Post Snowflake migration, our team stands by you in every technical aspect, knowledge transfers, fixing the issues on data source integration, and much more.
We’re ready with the roadmap for your enterprise Snowflake migration! AVASOFT’s cloud-agnostic data science team is here to get you covered with successful and seamless Snowflake migration. With our custom-built utility tools, you can accelerate your business continuity and cut down the costs spent on cloud-native migration services.
Relax and scale up your business with a single data cloud platform!
You’re running out of time! Start your journey towards enterprise Snowflake migration by calling us right now!
Wish to know more? Let’s get into a call now and discuss legacy DWH to Snowflake migration for your organization!
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