Big Data
Over the course of this blog series, we’ve described several data management capabilities, as well as why those capabilities are important and worth caring about. We’ve covered testing, both in terms of test design automation and test data management, data governance and data masking, data migration and modernization, and data quality and improvement. Read More
Data Transformation
We started this series of articles by talking about test design automation and the need to introduce automation throughout your testing processes. In this blog, we come full circle to talk, once again, about testing. Read More
Data Masking/Protection
In the previous article in this series, we discussed the importance of improving and maintaining the quality of your data. Along the same lines, it is also very important to make sure your data is well-governed. Read More
Data Migration
With the rise of the cloud, data migrations – and specifically, cloud migrations – have become (and, for that matter, are still becoming) increasingly important to many organizations. Read More
Data Transformation
This is the first in a series of blog posts that will highlight the various data management capabilities provided by IRI Voracity across a range of contexts and use cases. Read More
Data Masking/Protection
Abstract: Data collected, processed, and saved across industries is constantly generated and updated. Database (DB) tables can be refreshed with new data from applications or events in intervals as frequent as a fraction of a second. Read More
Data Masking/Protection
Public and private cloud file systems are becoming increasingly popular places for businesses and government agencies to store their data. Several major competitors have arisen in the cloud storage provider space, with Amazon, Microsoft Azure, and Google Cloud Platform at the top. Read More
Data Migration
Connecting the Microsoft Access database to IRI Workbench and the back-end SortCL data processing program to exploit the many data manipulation and management capabilities of Voracity platform software is a simple process. Read More
ETL
Data flowing through application development, machine learning, and analytic pipelines must address several needs common to all three, including:
Realism, to reflect production data characteristics and application test requirements; Compliance, with business and data privacy rules, plus DB and analytic models; Availability, or security, of the data (depending on your perspective); and, Auditability, for lineage and accountability. Read More
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. Read More