Migrating Hadoop Data and Processing to Snowflake

If you’re still using Hadoop as your data processing and reporting engine you are likely faced with complex problems that are expensive to maintain and difficult to solve. We are seeing our customers focus on business problems by simplifying their technology processes, increase scalability, and reduce spend by exploring more contemporary options. This whitepaper serves as a plan for migrating on-premises and cloud Hadoop data and processing to Snowflake.
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The Snowflake Data Cloud was designed with the cloud in mind, and focused on your OLAP needs. It can assist with reducing dependence on Hadoop for analytical workloads using a pricing model that scales with its use. The cloud native offering has many features and capabilities that should make it an enticing solution to your data engineering and data warehousing needs.

Learn more about the advantages of migrating with automation

Migrate faster

Over years of doing Hadoop migrations, we’ve developed tools and software that allow us to accelerate your move to Snowflake by automating common, time-consuming tasks like translating SQL, maintaining security standards, and onboarding new users.

Migrate with confidence

By automating highly manual, error-prone processes like translating Hadoop SQL to Snowflake SQL, you can ensure consistent results, with fewer errors. This means your transition can be done with confidence, freeing up your engineers to have more time for business-critical tasks.

Migrate for a lower cost

Our automation also reduces the overall costs of the migration. There’s no need to hire (or offshore) additional engineers when you’ve got battle-tested software at your fingertips that automates the entire process.

We will walk you through the necessary steps for a successful migration. Download the guide!

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