Migrating Hadoop Data and Processing to AWS

Increasingly, companies are taking advantage of the cloud to modernize and scale their data analytics platforms. We are seeing our customers focus on business problems by simplifying their technology processes, increasing scalability, and reducing spend by exploring more contemporary options. This whitepaper serves as a plan for migrating on-premises Hadoop environments to AWS Data and Analytics.

Cloud native AWS reduces dependence on static Hadoop clusters 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 AWS 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 HiveSQL to Redshift/PostgreSQL, 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 lower cost

Our automation also reduces the overall costs of migration. There’s no need to temporarily hire (or offshore) additional engineers for a migration when you can leverage phData’s automation and engineering to execute.

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

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