Data Transformation
As I’ve discussed previously, IRI provides a robust solution for data migration. For those needing a recap, IRI is a longstanding data management vendor that has been almost perennially involved in data modernization efforts (such as legacy “lift and shift” work). Read More
Data Masking/Protection
To configure both JDBC and ODBC to support the Transport Layer Security (TLS) protocol, there are additional configuration steps that are needed when compared to this previous article. Read More
Business Intelligence (BI)
The names of IRI software products and how they run have at times been a source of mystery, or even confusion, to the uninitiated. This article spells out the pieces and clarifies their interplay, providing a quick primer for prospective users, partners, and new industry analysts. Read More
Data Quality (DQ)
IRI Workbench now contains a section of data cleansing, enrichment, and validation rules called Data Quality Rules for use in IRI CoSort data transformation and IRI Voracity ETL, reporting and data wrangling jobs. Read More
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. Read More
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. Read More
Big Data
KNIME is a leading open source analytic and visualization tool for data scientists. Wrangling raw data for KNIME projects is usually done via their intermediate file node, database connectors, or other extensions like Spark. Read More
Business Intelligence (BI)
Oracle Data Visualization Desktop, Oracle DV or DVD for short, is business intelligence (BI) software that can organize, aggregate, and visualize data for informational outcomes. What seems to make this BI software unique is its ability to create slideshow presentations from its different visualizations. Read More
Big Data
To analyze data successfully, it must first be prepared successfully. Poor quality data creates poor results. Worse yet is data that takes too long to collect and clean because it is too big or too foreign. Read More
Data Transformation
For the last 30 or so years, the precursor to most large scale business intelligence (BI) environments has been the Enterprise Data Warehouse (EDW). A data warehouse (DW) is usually a central database (DB) for reporting, planning, and analyzing summarized, subject-matter data integrated from disparate, historical transaction sources. Read More