Getting your data to cloud is the first step of successful cloud migrations. Cloud service providers offer many different services for data storage and data management - understanding how they can be used and best practices around them is important when thinking about cloud data migrations.
In this video we look at:
What drives organizations to move to cloud infrastructure? The increasing expense of supporting legacy applications; wanting to go mobile and provide access from anywhere; and the modern features provided by AWS are among the top drivers.
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While there are plenty of tools available to assist with a migration to cloud, AWS specifically, the choice can be overwhelming and perceived as an additional expense. We discuss which good tools are essential for success.
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Full stack data management platform for designing, automating, operating and publishing data and pipelines.
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How should you think about using a data management platform - deploy on-prem or in the cloud? How to effectively combine a hybrid environment.
Data locality significantly controls how the process needs to be planned. What are some of the key considerations?
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Although the target in this exercise is solely AWS, there still are a number of questions related to which AWS services you want to use, and how you are going to organize them.
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S3 for large volumes of unstructured files, or disk-style file system on EBS/EFS, you can seamlessly use either using the automation and shortcut components in CloverDX.
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AWS has a rich selection of services for relational data. The key consideration is fully managed vs self managed, and then the volume you’re working with and the approach to migration.
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AWS offers natively Postgres-like Redshift. For data warehouse migrations, an ELT approach works best given the large amounts of data.
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How to use APIs in both source and target scenarios to connect on-prem and cloud apps
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There's a rich set of services available in AWS for you to store and use your data, and also a rich set of tools to help get your data from your source locations into your AWS targets.
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Should you continue investing into your homegrown DIY data integration solution? Or should you bite the bullet and invest in a commercial data platform?
If your ETL processes aren't as reliable, transparent or easy to maintain as you'd like, it might be time to start looking for a more robust solution.
This guide will walk you through every aspect of the decision so you can make an informed choice.