Tag Archives: testing
Personally Identifiable Information is under attack like never before. In the news recently two prominent organizations—institutions—were attacked. What happened:
- A data breach at a major U.S. Insurance company exposed over a million of their policyholders to identity fraud. The data stolen included Personally Identifiable information such as names, Social Security numbers, driver’s license numbers and birth dates. In addition to Nationwide paying million dollar identity fraud protection to policyholders, this breach is creating fears that class action lawsuits will follow. (more…)
The findings of the Cloud Market Maturity study, a survey conducted jointly by Cloud Security Alliance (CSA) and ISACA, show that government regulations, international data privacy, and integration with internal systems dominate the top 10 areas where trust in the cloud is at its lowest.
The Cloud Market Maturity study examines the maturity of cloud computing and helps identify market changes. In addition, the report provides detailed information on the adoption of cloud services at all levels within global companies, including senior executives. (more…)
Why performance based testing? Performance based testing measures your ability to apply your knowledge and achieve a specific outcome. Customer success demands that a practitioner’s ability to implement, configure and use our products is validated. (more…)
Richard Cramer, Chief Healthcare Strategist at Informatica talks about protecting healthcare data in non-production testing environments.
Lean Data Management is a new approach to managing your data growth. It uses the “Lean” concept that originated with Toyota car manufacturing in the 1990’s. The “Lean” concept is based on maximizing efficiency, eliminating waste and providing more value to the customer. (See Informatica’s lean integration solutions as well as John Schmidt’s 10Weeks to Lean Integration blog series.)
As technology has evolved, industries consolidated, and corporations have grown, these organizations are faced with explosive data volumes called “Big Data”. Big Data is all the different types of data that are supported by IT organizations. Applying the “Lean” concept to managing application data will help you reduce the size of your Big Data by archiving live production databases, subsetting non-production databases and archiving/retiring legacy and redundant applications. Informatica’s Lean Data Management approach to reducing Big Data is an effective, comprehensive approach to addressing the challenges created by Big Data. It’s time to Make Big Data Small with Lean Data Management.
Here are the top 5 benefits for Making Big Data Small: (more…)