The Global IDs Data Migration Suite helps organization migrate to lower cost environments based on cloud and Hadoop infrastructures. "Data Lakes" can be populated with high quality data from parts of the data ecosystem that have already gone through QA, Governance and Cleansing. Prior to migration, the software can create "synthetic" data sets for testing and application development. Data scientists can use these synthetic data sets for predictive analytics. Application developers can use the synthetic data sets for "Data-Centric" application development.
Once the enterprise data landscape is organized, cleansed and integrated, it can be moved into less-expensive modern infrastructures based on cloud and Hadoop. Unlike traditional approaches that use Hadoop/HDFS as a dumping ground for garbage data, the Global IDs software can be used to create "Data Lakes" with pristine data that has gone through rigorous checks and balances.
The Data Migration Suite also helps organizations build Synthetic Data Sets for use by Data Scientists. These synthetic data sets have the characteristics of "real" data, but do not contain any actual data records that are found in enterprise databases. Using synthetic data allows data scientists to carry out their experiments, while not violating Enterprise Security, Privacy and Compliance policies.
The software can create synthetic databases that can be used for a variety of purposes, including Data Science and Mobile Application Development.
The software can move custom data sets into HDFS and Hadoop-centric databases (e.g. Hive, Cassandra, Titan) by utilizing data-migration workflows."
The software exposes a REST-based Web-Services API to provide information to other applications that require metadata and data.
|Discover Data Landscape||Automated||Manual|
|Profile Data Landscape||Automated||Manual|
|Map Data Landscape||Automated||Manual|
|Model Data Landscape||Automated||Manual|
|Amount of training needed||2 Hours||Days or Weeks|
|Time to deploy||Days||Months|
|Licensing model||Subscription or term||Big upfront procurement|