Quasi-identifiers, or indirect identifiers, are personal attributes that are true about, but not necessarily unique, to an individual. Examples are one’s age or date of birth, race, salary, educational attainment, occupation, marital status and zip code.
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This is part 4 of a 4-part series on Production Analytics. Processing on Par with Information [Part 1] Data Processing Drives Efficiency [Part 2] Processing Real World Data [Part 3]
In this final article of the series covering the Production Analytic Platform paradigm, we look at data virtualization—a key requirement in today’s multi-source, data-overloaded world.
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This is part 3 of a 4-part series on Production Analytics. Processing on Par with Information [Part 1] Data Processing Drives Efficiency [Part 2] Unifying the Worlds of Information and Processing [Part 4]
The inclusion of full function data processing in the Production Analytic Platform simplifies the task of gathering data from external sources such as the Internet of Things and clickstream data that requires both intensive exploratory modeling as well as high-speed application and maintenance of those models on real-time and streaming data.
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This is the first of a four-part series of blog articles examining the inherent tradeoffs between data processing and information storage and presentation within traditional ETL paradigms — from the ODS to the data lake.
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This is part 2 of a 4-part series on Production Analytics. Processing on Par with Information [Part 1] Processing Real World Data [Part 3] Unifying the Worlds of Information and Processing [Part 4]
Considering data processing as a central component of data management and on a par with databases offers new insights on how to improve overall efficiency and return on investment in traditional data warehouses.
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Once a Schema Pattern Search is performed in IRI Workbench (WB), the results can be used by the Schema Pattern Search to Data Class Association wizard to assign data classes to the matched columns.
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The Schema Pattern Search in IRI Workbench (WB) can be used to retrieve data in an entire schema matching specific patterns. The search process compares the patterns to all the data in every column of the selected data types in every table in every schema selected.
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IRI has discussed startpoint security in further detail with the Outlook Series in a segment about data masking.
This article defines what we’d like to call “startpoint security” mostly by virtue of a comparison to endpoint security.
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The IRI Workbench GUI, built on Eclipse™, provides several ways to create data-driven jobs … jobs which are ultimately expressed in self-documenting plain-text scripts and metadata files.
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This article, along with counterpart articles for Cloudera and HortonWorks, describes the simple 5-step process to connect the IRI Voracity big data management platform to any MapR distribution through the VGrid Gateway.
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This article, along with counterpart articles for HortonWorks (Ambari) and MapR, describes the simple 3-step process to connect the IRI Voracity big data management platform to a Cloudera distribution through the VGrid Gateway.
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