Simple way for cloud migration with DATAWARE

The goal of most cloud migrations aims to improve the operating environment,
including maintenance cost reduction and better scalability, while keeping the current service the same.
en-core's DATAWARE visualizes the current data structure and how it is used in applications.
It allows a clear selection of migration targets and a verification of data integrity of operating services after the migration based on the analysis.

DATAWARE has products for each component
of the data quality management framework.

• 01

  Data standard management Data standard management is an area that establishes and manages a standard terminology dictionary that includes data information: use META#

• 02

  Data structure management Data structure management is an area that manages the structure (table, column) that contains the data of operating services: use DA#

• 03

  Data flow management Data flow management is an area that manages how specific data in legacy system flows into information system: use DF# and ETT#

• 04

  Data application management Data application management is an area that manages how data is collected and
  utilized for operation services: use AP#

• 05

  Data quality management Data quality management is an area that validates if operation data meets
  a business requirement: use DQ#

Cloud migration using DATAWARE™

Support for successful cloud data migration up to data migration

The process of converting the On-Premises commercial DBMS to cloud open source DBMS is similar to the case of converting the data structure to a heterogeneous DBMS.