Leveraging the Power of Automated Data Validation

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More companies are leveraging data migration and modernization to the cloud to implement digital transformation. That said, data migration from in-house legacy systems to the cloud is not straightforward. The challenges are plenty and complex.

An end-to-end data warehouse modernization process also involves data validation to ensure that companies have not lost any data when moving it between heterogeneous systems. Successful data validation is essential for companies to decommission their legacy system after the migration.

Read on to learn how an automated data validation tool like Pelican can address migration-related challenges.

How the Pelican tool addresses data validation challenges

An automation tool like Pelican transforms the way organizations validate in the migration cycle. Here are some of the challenges with manual data validation, and how Pelican overcomes them:

  1. Data inconsistency & discrepancy
    As part of their data migration and modernization process, organizations fail to maintain data consistency between the “traditional” data warehouse and the cloud environment. Complex migration processes can introduce data discrepancies at the granular level, which is challenging for humans to detect.

    The Pelican tool addresses this challenge by automatically validating data for any discrepancy at the granular level. It can perform cell-level validation in a single iteration – without the need to write any validation code.

  2. Time and cost escalation
    Too often, organizations exceed their timeline in migrating data to the cloud environment by performing manual data validation. This also results in cost escalation.

    An automated data validation tool like Pelican uses automation to accelerate the validation process, thus enabling on-time and cost-efficient migration.

  3. Lack of scalability
    Manual validation tools lack the scalability required to manage massive data volumes. They must also deal with a variety of data sources and inconsistent data frequency.

    With the Pelican tool, organizations can test huge volumes of data migrated to the cloud along with managing various types of data sources and data frequency.

Don’t miss our upcoming Pelican webinar

If you are thinking of automating your next cloud migration process, don’t miss our upcoming Pelican webinar scheduled for May 9, 2024. Learn how network technology company Cisco leveraged our Pelican tool to:

  • Reduce their data validation costs by 50%.
  • Improve their overall efficiency by 80%.

Here’s what you can learn by registering for this webinar organized by Onix, a leading Google Cloud migration partner:

  • Current trends in data digitization
  • Why data validation is key to a successful enterprise data modernization story.
  • Why and how Cisco migrated their data to Google BigQuery
  • Understand critical KPIs in the data migration lifecycle.
  • Best practices for automated data validation using the Pelican tool

Validate your data quickly with the assurance of the Pelican tool. Register for our upcoming webinar today!

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