Even after consulting and tuning are employed, big data volumes (i.e., more than one million rows) can be slow to transform, particularly without an expensive hardware or version upgrade of DataStage.
Big data bottlenecks are large sorts, joins, aggregations, loads, and sometimes unloads. Parallelization or optimization in other layers or tools can be unwieldy, if not expensive, and may adversely affect performance for other users.
From a security standpoint, IBM's data masking solutions may be expensive or cumbersome for some, or may not provide all of the PII discovery or privacy functions for others.
Speed sorts, joins, and aggregations in a single pass by using CoSort Sort Control Language (SortCL) in a sequential file stage or Before-Job Subroutine. Run large data transformations without encumbering other jobs in DataStage, your database, or BI tool. Also, specify file-format and data-type conversions, field-level masking functions, custom reports, and pre-sorted load files.
Improve the performance of the DataStage by adding a sequential file stage prior to aggregation, running a SortCL script to externally pre-sort the file on break keys, and then, defining the sorted fields in the aggregation stage.
Data at rest in tables and flat files within DataStage can be sensitive, containing personally identifiable information that is subject to confidentiality restrictions and data privacy laws. Both IRI Voracity and IRI FieldShield can protect fields in structured datasets in any ODBC-connected database or flat-file format.
Your business rules dictate the feature you choose to apply to each column; i.e. format-preserving AES-256, FIPS-compliant OpenSSL, 3DES, and/or GPG encryption, lookup-value substitution (pseudonymization), character masking, hashing, redaction, custom expression logic, substring, or user field function.
IRI Voracity through its constituent (or standalone) IRI RowGen software product generates safe, realistic test data using COBOL or CoSort metadata, .dsx-defined files, and any RDB data models connected through JDBC. Use RowGen to create compliant, realistic test data from random generation and/or set-file selection, and customize it even further with built-in data manipulation and formatting functionality.
Facilitate migration from DataStage to faster, more affordable ETL operations in IRI Voracity using AnalytiX DS (ADS) Mapping Manager or Code-Automation Frameworks (CATfx). This proven technology, as well as ADS Lite Speed Conversion services, finally gives ETL architects and the CIO/CFO suite the ability to save hundreds of thousands of dollars immediately, and shift to a low-cost operational expense going forward.