Cloud migrations

Cloud migrations

Migrate to your new cloud data warehouse, lake, or lakehouse, and launch new data orchestration and business intelligence tools with confidence.

Why do we care about data observability? As we’re migrating trusted on-premise solutions to the cloud, the users of those systems have to trust that these new cloud-based technologies are as trustworthy as the systems of the past.

Edward Kent Principal Developer, Data Engineering

Why data teams choose Monte Carlo to support their cloud migrations:

Ensure data reliability from day one

Confirm your data assets are migrated successfully, whether to your warehouse, lake, lakehouse, or BI tool, or by your orchestration tool.

Accelerate product and tool adoption

Ensure your consumers adopt the newest addition to your data stack by producing data that they can trust.

De-risk your data and ML investments

With reliable data and faster adoption, your team can demonstrate return on the migration decision and investment.

Migrating to the cloud?

Whether you’re migrating to a new warehouse, lake, or lakehouse, onboarding a new BI tool, or deploying a new orchestration tool, Monte Carlo can help ensure data reliability from launch.

Automated data quality monitoring

Monte Carlo machine learning monitors automatically check every product table for freshness, volume, and schema changes, and enable your team to deploy monitors and tests on your most critical assets.

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Automated data quality monitoring

End-to-end data observability

Monte Carlo’s data incident detection, resolution, and prevention capabilities provides the data quality processes your team needs to ensure data consumers trust in your new cloud environment, orchestration or BI tool.

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End-to-end data observability

Migrating from a cloud EDW?

Plan and prioritize the migration of your data assets from your existing cloud warehouse, lake, or lakehouse with confidence.

Understand downstream dependencies

Leverage table- and field-level lineage to understand what is impacted downstream to plan your migration without disrupting your data consumers.

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Understand downstream dependencies

Identify your critical assets

Monte Carlo automatically identifies your most important data assets based on utilization and dependencies so your team can identify which tables to migrate to save time and cost.

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Identify your critical assets

Additional resources

Planning a cloud migration? Check out these additional resources:

Autotrader UK’s cloud migration

Autotrader UK’s cloud migration

Learn how Monte Carlo is supporting the publicly traded advertising business is migrating to BigQuery.

Watch the interview
Snowflake migrations

Snowflake migrations

Read about the 4 reasons why every data team on Snowflake should invest in data observability.

Read the article
Integrations for your data stack

Integrations for your data stack

Check out our available integrations to see if we can support your data warehouse, lake, or lakehouse migration, or data orchestration or BI tool deployment.

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Ready to recover engineering capacity?

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