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.
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.
Full stack data management platform for designing, automating, operating and publishing data and pipelines.
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?
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.
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.
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.
AWS offers natively Postgres-like Redshift. For data warehouse migrations, an ELT approach works best given the large amounts of data.
How to use APIs in both source and target scenarios to connect on-prem and cloud apps
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.
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.