IRI’s data management tools share a familiar and self-documenting metadata language called SortCL. All these tools — including CoSort, FieldShield, NextForm, and RowGen — require data definition file (DDF) layouts with /FIELD specifications for each data source so you can map your data and manage your metadata.
There are a number of business intelligence tools available today than can transform raw data into meaningful information. Because this process can be complex and involve large volumes of data however, it makes sense to use the right technologies at each step in the process … tools and techniques that combine well to deliver the fastest, most accurate results for business decision making, and make the process of metadata management and report design simpler and more efficient.
Realistic test data has a number of advantages over real data for anyone creating or changing a database, prototyping ETL operations, or testing applications. First, synthetic data do not expose personally identifiable information (PII) like credit card, social security numbers, birth dates, etc.
One of the best ways to speed up big data processing operations is to not process so much data in the first place; i.e. to eliminate unnecessary data ahead of time.
Big data integration activities can happen outside the database in an extract, transform, load (ETL) environment, or inside the database in ELT:
One example of an ELT operation would be Informatica’s Pushdown Optimization option, in which users transform data in a relational database like Oracle, or in Teradata.
As IRI CoSort integrates and stages big data from a variety of sources, it plays a natural role in producing data for reporting and analytics.
CoSort not only transforms data for loading data warehouse tables, it can report at the same time, or feed data in filtered, aggregated, sorted, and properly formatted subsets (like .CSV
The IRI data management platform Voracity, as well as its constituent tools, can perform and speed big data warehouse extract, transform, load (ETL) operations, delaying the need for new hardware or expensive proprietary appliances: http://www.iri.com/blog/data-transformation2/a-big-data-quandary-hardware-or-software-appliances-or-cosort/