Data Quality (DQ)
Customers drive business, and they want to be understood and valued. That starts with getting their (only) name right, and having an accurate view of their transaction history, preferences, and related information. Read More
Big Data
UPDATE: Q2’17: Included JDBC and ODBC drivers, and pending native JSON handling can make the connections faster and more seamless than the approach shown below. You can also use the Hadoop edition of IRI Voracity to mask data in HDFS directly. Read More
Data Masking/Protection
This article is third in a 3-part series on CLF and ELF web log data. We first introduced CLF and ELF web log formats, then introduced IRI solutions for processing web log data, and here we conclude by masking private data in web log files. Read More
Big Data
This article is second in a 3-part series on CLF and ELF web log data. We previously explained CLF and ELF web log formats, and now introduce IRI solutions for manipulating and using web log data. Read More
Data Masking/Protection
Data Privacy on Fire We’re still seeing data breach headlines burning across news outlets and social media, fast and hot:
The Equifax Breach was Entirely Preventable – Wired States Investigate Experian Data Breach – Krebs on Security ‘Heartbleed’ Bug in OpenSSL Exposes Millions of Online Passwords – Reuters Millions of Target Customers’ Credit, Debit Card Accounts May Be Hit by Data Breach – NBC News Neiman Marcus Data Breach Worse Than First Said – New York Times Retailers Hit by Credit-Data Breach Smaller Than Target’s – Bloomberg NewsAnd the fire burns on. Read More
Test Data
The value of good test data to DBAs is well known:
“Testing of database-intensive applications has unique challenges that stem from hidden dependencies, subtle differences in data semantics, target database schemes, and implicit business rules. Read More
Data Masking/Protection
Submitting one’s credit card details electronically can be disconcerting (e.g., via physical scanner or internet purchase). The personally identifiable information it contains can lead to fraudulent charges, identify theft, and so on. Read More
Big Data
Data profiling, or data discovery, refers to the process of obtaining information from, and descriptive statistics about, various sources of data. The purpose of data profiling is to get a better understanding of the content of data, as well as its structure, relationships, and current levels of accuracy and integrity. Read More
Test Data
Database and solution architects depend on realistic test data to:
help create new databases, prototype ETL jobs or applications benchmark performance in new or existing platforms stress-test systems protect confidential information in existing systems if database work is outsourced or used for demonstrations. Read More
Data Masking/Protection
The increasing sophistication of software applications and the expanding role of database testers require high volumes of high quality, realistic test data that can faithfully represent existing, and stress-test new, platforms. Read More
