Big Data
This article is third in a 4-part series on feeding the Datadog cloud analytic platform with different kinds of data from IRI Voracity operations. It focuses on visualizing Voracity-wrangled in Datadog.
Big Data
This article is the second in a 4-part series on feeding the Datadog cloud analytic platform with different kinds of data from IRI Voracity operations. It focuses on preparing data in Voracity, and getting Datadog ready to receive it.
Big Data
This article is first in a 4-part series on feeding the Datadog cloud analytic platform with different kinds of data from IRI Voracity operations. It focuses on the value of Datadog and Voracity together.
Big Data
Elasticsearch is a Java-based search engine that has an HTTP interface and stores its data in schema-free JSON documents. Unfortunately, a spate of costly and painful breaches of Personally Identifiable Information (PII) continue to plague online Elasticsearch databases:
Were all the PII or other sensitive information in these DBs masked however, successful hacks and development copies may not be problematic.
Data Masking/Protection
Whether your SQL Server database is on-premise or in a cloud platform like Azure, its data is accessible for movement and manipulation in IRI Workbench-supported products like CoSort, FieldShield, DarkShield, NextForm and RowGen, or the IRI Voracity platform which includes them all.
Data Masking/Protection
Previous articles in the IRI blog detailed the static data masking of new database data using /INCLUDE logic or /QUERY syntax in scheduled IRI FieldShield job scripts that required changes in column values to detect updates.
IRI Workbench
Connecting to a database like Oracle can be the most frustrating part of application installation and configuration. The many options available with JDBC and ODBC drivers can be daunting.
Data Transformation
Forty years after the first release of IRI CoSort for CP/M, CoSort v10 for Unix, Linux, and Windows platforms was released in the middle of 2018.
Data Masking/Protection
Once they have made their database connections, IRI FieldShield and IRI DarkShield users both have a wide range of options for classifying, finding, and de-identifying sensitive data across one or more schemas.
Data Masking/Protection
Personally Identifiable Information (PII) like names, Social Security numbers, home addresses, etc. are stored in multiple sources and silos, including semi-structured files in JSON and XML format.
Data Masking/Protection
Just as IRI FieldShield product users can reach and mask personally identifiable information (PII) — and IRI Voracity platform users can integrate and govern structured files — in Amazon Simple Storage Service (Amazon S3) buckets, IRI DarkShield users can now find and mask PII in unstructured files stored in S3.
