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But, with 80 percent of data migration projects running over time and/or budget, it’s clear that most businesses have room for improvement when it comes to moving data.
With these facts in mind, it’s a good time to brush up on the fundamentals of using Azure SQL database.
Frankly, you’re spoiled for choice with methods for moving data with Azure.
Here are the most common methods:
Another way to load data is to use the BCP command-line utility to import data from a CSV file into Azure SQL database.
Azure SQL database is well-optimized for users to move data around in a way that suits them. However, manually moving data with the methods we’ve covered isn’t the best solution for every business.
Moving data to/from Azure isn’t rocket science, but implementing it manually can be both problematic and time-consuming. That’s because writing and executing code can lead to errors and incorrect formatting, which ends up slowing data processes. Manual implementation also leads to costly errors further down the road.
The worst part? As your datasets grow in scale, and you go from terabytes to petabytes, these issues become even more problematic.
Automating the process, with a tool like CloverDX, dramatically improves this process. Error handling, sequencing of steps, ensuring data is on time - these are all easier when you automate your pipelines.
So, if you want to see how an automated solution can help you modernize and accelerate your data pipelines, download a free trial of CloverDX today.