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What's in this webinar?

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:

  • Options for storing files in AWS?
  • Best practices for getting your data into various locations in AWS
  • How CloverDX can help you migrate and manage your data in AWS cloud

Chapter 1: Why migrate? (2:10)

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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Chapter 2: Tools available to simplify migration to AWS (5:34)

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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Chapter 3: Quick introduction to CloverDX (8:50)

Full stack data management platform for designing, automating, operating and publishing data and pipelines.

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Chapter 4: CloverDX deployment options for both cloud and on-prem (11:15)

How should you think about using a data management platform - deploy on-prem or in the cloud? How to effectively combine a hybrid environment.

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Chapter 5: The migration process - source location considerations (13:30)

Data locality significantly controls how the process needs to be planned. What are some of the key considerations?

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Chapter 6: Migration process - Target considerations (16:20)

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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Chapter 7: Moving files to AWS (18:45)

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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Chapter 8: Migrating data to AWS relational databases (24:15)

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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Chapter 9: Migrating data to AWS data warehouses (29:42)

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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Chapter 10: Migrating data to/from cloud applications (35:38)

How to use APIs in both source and target scenarios to connect on-prem and cloud apps

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Chapter 11: Summary (39:42)

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.

2021-11-09_12 Migrating your data to AWS (878 9538 6286)

 

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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.

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