With an increasing number of businesses considering modernizing their data warehouse systems by migrating to Azure Synapse, translating their SQL code is among the vital activity blockers they face.
The existing code is both written and optimized for their current on-premise SQL warehouse system, but migration to Azure Synapseshall be required to be optimized needs the stored procedures, DDLs, and other database objects optimized to run on Azure Synapseto the new system they are migrating to.
Companies around the world try to modernize their analytics platform for the purpose of enjoying a number of innovative advantages, along with TCO or total cost of ownership. However, numerous customers have already invested their time, money and thousands of lines of code for their data warehouse.
For the purpose of translating critical SQL code, customers either have to use the existing SQL code manually or opt to invest a large sum of their budget for an outside practice to convert or rewrite their code.
Azure Synapse Pathway can considerably accelerate the migration to Azure Synapse Analytics SQL Pools. It has been developed on the top of smart logic already tested with SQL Server Migration Assistant. However, its key focus tends to be analytical data store migrations. As a result, people can save hundreds of hours of human effort on the conversion of their scripts.
What exactly is Azure Synapse Pathway?
Azure Synapse Pathway is meant to boost the process of migration of scripts from other analytical store providers to Azure Synapse Analytics. These scripts can include tables, procedures, functions, views and so on. It is especially helpful in simplifying migration from popular providers like Amazon Redshift, Google BigQuery, Microsoft SQL Server, Snowflake, Teradata and IBM Netezza.
However, it is important to understand that one cannot expect absolutely 100%%% successful translation of their scripts through the Azure Synapse Pathway. It is meant to save the manual human effort required to convert scripts, and not doing the entire task on its own.
How does it work?
Data warehouses feature the most valuable asset of any company, its data. As a company starts to grow, so does its need to analyze all the data generated by them. In such a situation, cloud migration to Platform-as-a-Service components modernizing data centers becomes important to reduce expensive on-premises datacenter footprints, while also improving business outcomes with the help of advanced analytics.
Moving data to the cloud is not an easy task. There are several challenges associated with integrating siloed data across business units migration as business logic and other database objects have to be disentangled when that data moves.
This is where Azure Synapse Pathway can help. It connects to the source system and inspects details about the database objects. An assessment report captures further details on the database objects that can be translated into Azure Synapse Analytics.
The source database objects are automatically converted and optimized to T-SQL code on Azure Synapse Analytic with the aid of Azure Synapse Pathway. As a result, the existing code, no matter whether it includes a thousand or million lines of code, shall be converted by Azure Synapse Pathway.
Owing to its capabilities, the process of manual code conversion can be automated in a fraction of the time, while minimizing the chances of manual errors and reducing the total cost of the migration.