tcVISION

tcVISION is a cross-system solution for timely, bidirectional data synchronization and replication based on changed data. It transforms data exchange into a single-step operation. No middleware or message queues are required. Data is exchanged in raw format, compressed, and reduced to the processing of changed data. One-way or bidirectional real-time, time-driven, or event-driven data transfers are supported.

Descripción completa

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  • Coexistence

Data synchronization in a heterogeneous system environment consisting of a mainframe and distributed systems

  • Migration

Gradual migration of data and applications across heterogeneous system environments

  • Modernization

Modernization of existing IT structures, integrating new technologies such as streaming and cloud platforms

  • Digitalization

Real-time mainframe offload to replace ETL or for real-time data in data centers, data lakes, and big data


RESOURCES:

FLEXIBILITY AND UPDATES

  • High integration potential of the tcVISION solution: multiple change data capture technologies can be used depending on the change frequencies and latency times.
  • Intuitive data mapping provides comprehensive functions for data type conversion and data transformation to complete data model changes.
  • Comprehensive conversion of historically developed mainframe data structures
  • Greater timeliness through continuous real-time processing
  • Automatic or user-controlled data transformation (ASCII – EBCDIC) to destination (conversion, reformatting, interpretation, etc.)
  • Support for relational and non-relational databases

EASE OF USE

  • Intuitive dashboard for administration and control
  • Comprehensive monitoring and logging of all data movements ensures transparency in all data exchange processes.
  • Built-in database-specific "Apply" feature to efficiently merge data across target systems, e.g., insert, update, delete directly or via JSON through Kafka or DBMS Loader
  • Integrated data repository with history management to maintain all data structures and data sharing rules
  • Key management for non-indexed data
  • Eliminating programming efforts for data transfers
  • Integrated bundling/streaming processes avoid scheduling efforts
  • Message Queuing prevents data loss due to delays or unavailability of the destination system

DATA INTEGRITY

  • Field-proven processes are available to restart replication after system failures (database errors, transmission errors, etc.)
  • Master data management to ensure data consistency
  • Ensure referential integrity through the transfer of transaction-related data

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