Offload Mainframe Processing
to Hadoop using Diyotta

Rapidly increase Hadoop ROI by offloading legacy batch processes with Diyotta’s Mainframe capabilities.

Mainframe systems are mission critical for Enteprises and have typically huge volumes of data and processes buried in the legacy applications. Large portions of the data in these Mainframe systems never gets utilized for analytics. Diyotta provides Mainframe offload solution which can ingest EBCDIC data and exploits the distributed processing capabilities of Hadoop to parse, process and load target data sets based on the business logic. This way, the Mainframe data can be used to address data mining and analytics needs, using Hadoop and eliminating the limitations of legacy platforms towards data processing and provisioning.

  • Ingest EBCDIC files
    by importing
    COBOL copybooks

  • Seamlessly supports
    complex structures like
    OCCURS, REDEFINES and
    multiple code pages

  • Leverages distributed
    computing power of Hadoop
    to parse massive volumes of
    EBCDIC data

  • Intuitive graphical user
    interface for building
    ingestion & transformations

  • Accelerate time-to-value
    in ingesting, transforming
    and provisioning mainframe
    data on Hadoop

  • Enrich data with
    heterogeneous transformations
    before loading to fianl
    target structures

  • Enhance data analytics
    by combining the old world with
    the modern world instantly

Offloading Mainframe Data to Hadoop

  • Seamlessly supports complex structures like OCCURS, REDEFINES and multiple code pages along with Packed Decimal formats.
  • Generates any target definition on Hive, BigSQL or platforms based on COBOL copybook definitions.
  • Leverages distributed computing power of Hadoop to parse massive volumes of EBCDIC data.
  • Ingests EBCDIC files from native or remote locations and convert to ASCII with inbuilt ASCII conversion process.
  • Enrich data with heterogeneous transformations before loading to final target structures.

 

 

 

  • Mainframe Offloading to Hadoop
    No coding and special skills
    required on Hive, MapReduce etc.

  • Accelerate Time-to-Value
    Cut development time by 6x
    using Diyotta vs manual scripts

  • Reduce Complexity & Cost
    Build a sustainable solution and
    spend 4x lesser than other solutions

Hadoop offers a scalable, cost-effective and fault-tolerant solution to offload Mainframe data and processes and Diyotta makes it easy for enterprises to offload the legacy batch processes without requiring deep technical skills.
Unleash the hidden insights from the Mainframe legacy world for comprehensive analytics and actionable intelligence.