Primary tab navigation

What's new

With InfoSphere Optim 11.3, IBM continues to deliver innovative capabilities to extend the solution and deliver more value for our clients.


What’s new for InfoSphere Optim Test Data Management?


In the 11.3 release of InfoSphere Optim Test Data Management, IBM has added the unique capability known as BigTDM.

BigTDM extends the current InfoSphere Optim Test Data Management (TDM) solution by leveraging Hadoop as a test data landing zone. BigTDM is part of the standard InfoSphere Optim Test Data Management Solution and includes InfoSphere BigInsights, IBM’s Hadoop offering. BigTDM can be used in conjunction with IBM InfoSphere BigInsights or any other Hadoop platform that supports the use of Hive version 0.12 and above.

The new market forces of Mobile, Social and Big Data are putting greater pressure on development organizations to do more, at a faster pace. They are being asked to deliver more frequent releases, without sacrificing quality or increasing budgets. Different tools are needed to help them meet that goal. That’s where BigTDM comes in. BigTDM is powered by a Hadoop based, open and scalable platform.

BigTDM utilizes Hive as a source and target data store, allowing clients to use Hadoop as a trusted test data management landing zone for all their test data needs. BigTDM can de-identify and mask data in and out of Hadoop ensuring that no sensitive data is exposed during the testing process. BigTDM also provides the unique capability of processing the data as a referentially intact complete business object to ensure referential integrity in test and development environments.

With BigTDM, application developers and testers now have access to an open, highly flexible test data repository. BigTDM provides a centralized view into all test data. The open nature of the platform enables flexible ways to query, search, modify and even create test data. The capabilities of InfoSphere BigInsights, allows developers and testers to visualize and manipulate data before it is provisioned. BigTDM enables organization to scale test data repositories as needed and provides them with flexible data provisioning allowing them to quickly respond to changing requirements and meet business needs.

TDM Actions is another new feature in InfoSphere Optim Test Data Management version 11.3. TDM Actions allows users to exit at different points of Optim Test Data Management services such as extract and insert etc. to execute SQL or a SQL stored procedure. This provides users with a more flexible way to extend Optim Services to satisfy client’s unique test data management requirements.


What’s new for InfoSphere Optim Archive?


Enhanced User Interface: IBM has enhanced the user interface for InfoSphere Optim Archive to improve client’s usability. This new, easy-to-use GUI will increase adoption of InfoSphere Optim Solutions and help speed time to value.

Improved Reporting: The new Archive Data Consumption report provides visibility into the success of Archive projects with information on the amount of data that has been archived over time by many different views. These views include consumption by date, data store, storage profile, access definition and more. Optim 11.3 also ships with a new Archive Process Monitoring report. This report will help clients improve their Optim Archive processes. It provides summary and detailed information on archive process as well as statistical information and details on table access strategy.

Additional Features

Contact IBM

Considering a purchase?


  • Gartner Magic Quadrant for Structured Data Archiving Application Retirement

    Gartner Magic Quadrant for Structured Data Archiving Application Retirement

    In the first ever Structured Data Archiving Application Retirement Magic Quadrant, IBM is recognized as a leader in the ability to execute and completeness of vision.Get the analyst report


  • The fundamentals of data lifecycle management in the era of big data

    The fundamentals of data lifecycle management in the era of big data

    How data lifecycle management complements a big data strategy
    Get the ebook


  • Gartner Magic Quadrant for Data Masking Technology

    Gartner Magic Quadrant for Data Masking Technology

    IBM is the leader in Gartner's Magic Quadrant
    Get the analyst report


  • Forrester Consulting Total Economic Impact Study

    Forrester Consulting Total Economic Impact Study

    IBM InfoSphere Optim Solutions for Data Lifecycle Management
    Get the analyst report


  • Wrangling big data: Fundamentals of data lifecycle management

    Wrangling big data: Fundamentals of data lifecycle management

    Learn how effective data lifecycle management strategies can reduce the cost of managing large volumes of data and reduce the risk involved in organizing and protecting that data, helping you corral big data into a manageable, dependable enterprise resource.
    Get the ebook


Demos


Related links