Data Masking/Protection
This Jenkins entry is the fourth in a series of articles on the use of IRI test data management software – that masks, synthesizes, or subsets data – to feed safe, referentially correct test data for DevOps to CI/CD environments.
IRI Workbench
The Eclipse Marketplace Client (MPC) is a new, ergonomic interface for finding and installing Eclipse-compatible plugins into your workspace. MPC is relatively new, and features a convenient drag and drop process to put new solutions in play.
Data Masking/Protection
IRI DarkShield data masking software focuses on discovering and masking sensitive data in a wide variety of sources, including unstructured and semi-structured files, documents, and databases.
IRI Workbench
BigQuery is a managed, serverless data warehouse in the Google Cloud designed to enable scalable analysis over petabytes of data. It is a relational database Platform as a Service (PaaS) which supports ANSI SQL queries.
Data Masking/Protection
Abstract: This article discusses the use of the IRI DarkShield-Files API for finding and masking PII and other sensitive data in Couchbase, Redis, and Solr NoSQL databases.
Data Masking/Protection
This article demonstrates methods for balancing work loads and authenticating users of the IRI DarkShield API using free, easily deployed reverse proxy server software from NGINX.
Data Masking/Protection
Optical Character Recognition (OCR) software is technology that recognizes text within a digital image. OCR is used by IRI DarkShield software to recognize text in standalone or embedded images during PII searching and masking operations.
Data Masking/Protection
Abstract: This article covers the use of the IRI DarkShield API for automatically locating and de-identifying PII or other sensitive data in the three major cloud provider NoSQL databases — Google BigTable, MS CosmosDB in Azure, and Amazon DynamoDB.
ETL
Manually initiating SortCL-compatible jobs in IRI Voracity ETL, CoSort reporting, FieldShield masking, or NextForm migration scenarios is not realistic or productive in environments where data in sources are being added or changed dynamically.
Data Masking/Protection
This is the third addition to the DevOps pipeline series. Here are the links to the DevOps articles related to GitLab and AWS CodePipeline.
What is Being Demonstrated?
Data Masking/Protection
This article demonstrates how to automate the execution of IRI DarkShield data masking jobs from SSH commands run from within the AWS CodePipeline to produce fit-for-purpose test data in the DevOps process.