Rocket Data Migration Description
Ensuring the integrity of data is crucial for any migration effort and remains a primary focus for data managers. Typically, a migration project is deemed unsuccessful if any data is either lost or corrupted throughout the process. Rocket® Data Migration solutions cover every facet of data center and media migration, crafted to utilize established policies and procedures while minimizing the need for manual intervention and offering varying degrees of support as necessary. These solutions not only enhance efficiency but also instill confidence in the migration process, safeguarding against potential pitfalls.
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DataBuck
Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.
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DynaCenter
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Swan Data Migration
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Integrations
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Company Details
Company:
Rocket Software
Year Founded:
1990
Headquarters:
United States
Website:
www.rocketsoftware.com/product-categories/data-migration
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Product Details
Platforms
Web-Based
Types of Training
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Live Training (Online)
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Online Support
Rocket Data Migration Features and Options
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