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Production Analytic Platform #3/4: Processing Real World Data

by Barry Devlin

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.

Big Data

Auditing DB Activity in IRI Chakra Max

by Donna Davis

One of the most important, and powerful, features of the IRI Chakra Max database firewall is its ability to audit access and activity from all types of connections.

Data Masking/Protection

Native MongoDB Masking (and More)

by Chaitali Mitra

Note: This article covers the third and most recently available IRI customer method for statically masking or encrypting data in MongoDB through the IRI FieldShield product or IRI Voracity platform (both powered by IRI CoSort v10 and its support of the native MongoDB driver).

Business Intelligence (BI)

Production Analytic Platform #1/4: Process on Par with Information

by Barry Devlin

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.

Business Intelligence (BI)

Production Analytic Platform #2/4: Data Processing Drives Efficiency

by Barry Devlin

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.

Data Masking/Protection

PII Masking & More in CSV Files

by Chaitali Mitra

This article demonstrates the manipulation of a CSV file using an IRI Workbench wizard. In fact, this example shows how PII can be masked from almost any IRI job wizard.

Data Masking/Protection

Schema Pattern Search to Data Class Association

by Claudia Irvine

Once a S che ma 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.

Data Masking/Protection

Schema Pattern Search

by Claudia Irvine

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.

Data Masking/Protection

Scoring FieldShield-Masked Data for Re-Identification Risk

by Dmitry Kulakov

One of the biggest concerns with releasing a dataset is the risk that a potential attacker can identify the owners of particular records. Even though masking or removing unique identifiers, like names and Social Security Numbers, can reduce that risk substantially, it may still not be enough.

Data Masking/Protection

Defining Startpoint Data Security

by David Friedland

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.

Big Data

Which Data Masking Function Should I Use?

by David Friedland

According to Simson L. Garfinkel at the NIST Information Access Division’s Information Technology Laboratory,

De-identification is not a single technique, but a collection of approaches, algorithms, and tools that can be applied to different kinds of data with differing levels of effectiveness.

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