SQL to Snowflake migration can be a straightforward task if a proactive approach is followed during migration. The migration process starts with data identification, in which data is categorized based on sensitivity, format, and location. Organizations must consider the right tools and resources during migration to keep the business’s confidential data safe.
With the rise in data and information, SMEs and large enterprises understand that the traditional method of collecting, managing, and storing data through SQL is insufficient, as its database is no longer sufficient to handle the massive data. Due to some vulnerabilities in the database management system, SMEs and large enterprises are looking for effective ways to migrate their data from SQL to other reliable solutions. This is where Snowflake comes with its modern data analytics capabilities.
Being one of the top-performing cloud data warehousing solutions, Snowflake allows businesses to store, manage, analyze and share data in unthinkable ways. This Inferenz’s comprehensive SQL to Snowflake migration guide will uncover the effective aspects that will make launching a migration project easy and help SMEs and large enterprises stay on track.
Why Launch A Migration Project From SQL To Snowflake?
For SMEs, SQL servers have multiple advantages, as no specific coding knowledge is required, and basic keywords like SELECT, UPDATE, and INSERT INTO can be used.
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However, the disadvantages of going ahead with SQL exceed the advantages of an enterprise looking for an effective way to store its data. For instance, newer versions of Microsoft SQL Server need advanced technologies, and one might have to invest in acquiring new machines to use the updated versions of SQL Server.
Enterprise solutions looking to create multiple warehouses to isolate multiple processes prefer migrating from SQL to Snowflake. Some of the benefits of launching an SQL to Snowflake migration project are:
- Supports both semi-structured and structured data
- Compliant with automated query optimization
- Fully managed and cost-effective data warehousing solution with the pay-as-you-go pricing model
- Robust technology support and cross-cloud capabilities
Remember, organizations should follow the best practices for Snowflake implementation so all the data is migrated safely.
5 Factors To Consider Before Any SQL to Snowflake Migration
Moving data from the SQL database to the Snowflake data cloud is not enough; business managers and experts need to review and structure the data in a way that seamlessly fits the new system that is reformed, effective, possess fewer vulnerability factors, and can handle big data-related projects.
Here are a few things that you should keep in mind when the foundation of the migration to the Snowflake project is launched:
Analysis the Data
Every data has its value, but organizations should consider the build-up expenditures when one migrates from SQL Server to Snowflake. If an enterprise migrates the entire data to a new server, it might reduce the efficiency of the data migration process. The best way to customize the data is by decluttering, restructuring, and discarding the information that is no longer required.
Architecture And Roadmap
Defining the migration architecture and data beforehand is the best way to avoid the big bang approach and make a seamless move to the Snowflake data cloud. For a smooth MS SQL to Snowflake migration project, businesses must follow the strenuous architecture and data preparation procedure by keeping the team members in a loop.
At Inferenz, we specialize in complex SQL to Snowflake migration processes, and if you are wondering how to start constructing the correct architecture, you can speak with one of our experts, who will guide you and save you time and resources as you migrate to a new server.
Security & Governance Needs
During the launch of a migration project, business solutions have to deal with security threats that harm the entire migration process and put the data in a highly vulnerable condition, resulting in a massive data breach. The best way to protect the data during the migration process is by keeping the connections secure, encrypting them, and putting all the data retention and archiving policies in place.
As a growing business requires more data storage space, scalability is crucial when launching a migration project. This scalability might lead to an increase in cost and complexities. Snowflake uses standard ANSI SQL and follows a pay-as-you-go pricing model, helping SMEs and large enterprises to understand the cost factor effectively.
Understand Business Goals
Data is an asset for every business as it can help them identify the loopholes in the existing business framework and make necessary changes to grow in the long run. While launching SQL to Snowflake migration project, understanding the business goals and analyzing the data helps enterprises make meaningful decisions that would bring efficient results.
It’s worth noting that a step-by-step process to migrate data to Snowflake should be followed. This will help companies reduce the overall migration costs and safely move data from traditional data warehouses to Snowflake.
Get Effective SQL to Snowflake Migration Solution
As one must have learned from this SQL Server migration guide, SQL primarily stores and retrieves data, but Snowflake is an analytics database built for the Cloud. Snowflake’s modern architecture, which runs on AWS, makes it one of the top-performing data warehousing solutions among other cloud-native database players.
If you are looking for SQL to Snowflake migration methods, schedule a discovery call with our experts, who will analyze your data and suggest the best method that you should use to achieve a seamless data migration.