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Best Tools to Copy SQL Server Data to Snowflake

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Best Tools to Copy SQL Server Data to Snowflake

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  1. Best Tools to Copy SQL Server Data to Snowflake Microsoft SQL Server is a relational database with several inherent advantages. The most important is that the complexity of installing the software is low as the setup wizard automatically detects and downloads all updates. This considerably reduces maintenance costs. Further, it is highly secured, using Policy-Based Management to detect non-compliant security policies.  

  2. Why then would you want to replicate data SQL Server to Snowflake? Snowflake is a cloud-based data warehousing solution that can hold both structured and unstructured data automatically. It manages how data is stored and organized and provides file size, structure, compression, metadata, and statistics. Storage is independent of computing and users can scale up and down in data usage, paying only for the quantum of resources used. It also enables multiple users to work simultaneously on multiple workloads without lag in performance.

  3. What then should be the features of the tools that optimize the process to replicate data SQL Server to Snowflake? Check for the following – Fully automated – Select a tool that automates mergers, transforms, and reconciles data through a point and click interface. Regardless of the quantum of data to be replicated it speeds up the process. The traditional SQL Server data tools, on the other hand, require setting up of connectors and pipelines before replicating data to Snowflake. Additional coding too is often required.  

  4. Able to handle massive data volumes– The best of tools will be able to replicate huge volumes of Microsoft SQL data to Snowflake without any contention or drop in performance and speeds. Most tools are not up to this task, taking a long time to replicate data, thereby adversely affecting organizations’ productivity. User-friendly – With a superior tool, there is no need for constant intervention by Database Administrators during replication. This leads to low Total Cost of Ownership (TCO) as DBAs do not have to spend hours to replicate data SQL Server to Snowflake. Managing dependencies and configuring backups are all automated in the best tools. The process becomes easier and less tedious.

  5. Use CDC for replication– A tool where you have to opt for a full data refresh when you want to update changed source data at the destination is not ideal for you as it will affect your productivity and performance. Instead, the best is one that uses SQL Server CDC (Changed Data Capture) to Snowflake. The tool will utilize database transaction logs to query SQL Server data at the source. The modified and changed data will only be copied to the Snowflake database.   Continuous data reconciliation – The chosen tool should be able to continually reconcile data in the Snowflake data warehouse. To replicate data SQL Server to Snowflake the option to validate data in the snowflake database continuously or at a frequency of choice should be available. Top-of-the-line tools will perform these tasks very speedily and satisfactorily.  

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