Overview Package Protect Provision Structured Data Unstructured Data

Do you have the time, money, and expertise for Hadoop, Teradata, in-memory or columnar databases like HANA or Vertica, DB/ELT appliances like Exadata or Netezza, or large scale ETL tools like IBM DataStage Parallel Extender or Ab Initio?

"More Hadoop projects will be swept under the rug as businesses devote major resources to their big data projects before doing their due diligence, which results in a costly, disillusioning project failure."
Gary Nakamura, CEO of Concurrent

"Spend (on big data projects) wisely. Follow a CRAWL - WALK - RUN strategy."
Dr. Peter Aiken, Data Blueprint

Before you resort to those 6- and 7-figure outlays, try proven 5-figure IRI software to see what you really need first. Start conservatively with something proven -- and without a learning curve -- before your costs spiral in a speculative hive. 

For more than 35 years*, IRI has been the proven performer for manipulating big, structured datasets across industries, geographies, and Unix platforms. If you have terabyte-level data sources or above, start with just:

  • one affordable product (IRI CoSort), in:
  • one simple place, an explicit a 4GL job script (managed in a free Eclipse GUI), performing:
  • one I/O pass that combines data transformation, conversion, protection, and reporting.


Here's what you can do with CoSort:

IRI CoSort Big Data Preparation, Iceberg Schematic
Big Data Packaging - integrate (acquire, filter, etc.), enrich (cleanse, remap, calc, etc.), and transform (sort, join, aggregate, etc.) big data in your existing file system.

Big Data Protection - mask, encrypt, pseudonymize, de-ID, hash, tokenize, etc. data as you transform and provide it ...

Big Data Provisioning - bulk load DBs with pre-sorted files, create federated views, franchise (subset) for BI tools, report (embedded in CoSort SortCL scripts or via ODA into BIRT in Eclipse), and even create big test data sets.


 

CoSort and its spin-offs** use a simple, self-documenting 4GL called "SortCL" for structured data definition, manipulation, masking and reporting. The SortCL jobs are text scripts supported in Eclipse where they can be created, shared, version-controlled, and run in both graphical or syntax-aware editing modes.

You can also execute in batch, from applications, or within distributed computing environments like Hadoop for even more speed later. Browse this section and its links for more details, or request a free demo.
 

* IRI started CoSort development in 1978. 2014 is the 10th year of IRI's use of the term "big data" starting with CoSort deployments in telco CDR data warehousing projects on distributed hardware.

** CoSort, typically used for data transformation, staging and reporting, can also do what its spin-offs do; i.e. IRI NextForm (for data migration), IRI FieldShield (for data masking), and IRI RowGen (for test data generation). 

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