Data Migration

Cloud applications rely on fast, timely, reliable enterprise data. This data often originates on enterprise data stores or legacy systems. At Macro9, we’ve developed leading edge tools and methodologies for migrating data from legacy systems into the cloud.

Our Methodology

We employ an 8 step process to maximize the integrity of all relevant data during the migration process. This process can be applied to both automated and semi-automated migration tasks. Our data migration process is as follows:

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Our Technologies
We use a variety of technologies for our data migration services. These include:

  • Macro9 proprietary data mapping and translation tools
  • Various third party tools data mapping, filtering and translation
  • Enterprise SOA Tools, (ex. Mulesoft)
  • LALR parsers, lexical analyzers and IL generators
  • Cloud and Web Services API’s

Data Migration Capabilities
Our data migration tools can be used to transform various classes of data including:

  • Catalog, product and description data
  • Data schemas
  • Product data structures & containers
  • Item-to-item relationships
  • Item-to-item dependencies
  • Extensive rule types
  • Control flow and rule dependencies
  • List, arrays, vectors and matrices
  • Multiple data encoding formats (ex. text, unicode, binary, XML, JSON)

Our data migration strategies and tools are designed to move enterprise data from existing legacy data stores into standard cloud based infrastructures. This includes the datafication of rules and logic for sharing across networks and systems.