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SQL Server to Snowflake – The Need for Replication

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SQL Server to Snowflake – The Need for Replication

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  1. SQL Server to Snowflake – The Need for Replication When you have a system in place that has served your data retrieval and storage needs for long, why would you want to switch to another comparatively new solution? Microsoft SQL Server is one that has for long met most SME requirements and workloads. It supports most applications across the web or on a local network system on a single machine and blends seamlessly with the full Microsoft ecosystem. Then, why do many organizations today want toreplicate data SQL Server to Snowflake?

  2. Snowflake has an advantage if you have big data needs but not much for relatively small datasets or low currency/load. This cloud-based data warehousing solution has almost unlimited storage capacity, a friendly user-interface, and very stringent data control and security measures. All these attributes are expected from a data warehouse but not available fully in Microsoft SQL Server.

  3. There are other benefits to Snowflake. It offers separate computing and storage facilities. Users can scale up or down in either of them, paying only for the resources used. Further, multiple users can work simultaneously on intricate queries and workloads without experiencing any lag or drop in performance. Basically, Microsoft’s SQL Server is a database server with primary functions being to store and retrieve data. It is a combination of the Relational Database Management System (RDBMS) and the Structured Query Language (SQL). Many specialized versions released recently though cater to a wide range of workloads and demands.  

  4. Snowflake, on the other hand, is cloud-based and offered as a Software-as-a-Service product. It runs on AWS, the most popular and commonly used cloud provider. As in other databases, it is possible to query any structured data in Snowflake tables through the standard SQL data types such as NUMBER, BOOLEAN, VARCHAR, TIMESTAMPS, and more. These features are added incentives to replicate data SQL Server to Snowflake.

  5. Tools to replicate data SQL Server to Snowflake The process of replicating data to Snowflake need not be a long-drawn-out and tedious process if you use the most optimized and effective available tools. Given here are some features of the tools that should be checked before you opt for one. ·        Handling large volumes of data – Make sure that the tool you choose is able to handle massive volumes of data effectively and without any performance degradation. ·        Completely automated – The tool should automatically merge, transform, and reconcile data through a simple point-and-click interface regardless of the quantum of data being replicated. ·        Be able to use SQL Server CDC – By using SQL CDC (Changed Data Capture) the tool should utilize database transaction logs at source and copy modified and changed data only to the Snowflake database. Complete data refreshes every time a change is made is thus not necessary.       Choose the tool carefully to simplify and ease out the process to replicate data SQL Server to Snowflake.  

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