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Data Management vs. Data Virtualization

Data Management, as a principle, requires that data is brought to a single place, governed actively, and available in real time. It also includes the trust needed for business users to perform day-to-day business functions and to do it better than the competition. Data needs are contextual and based on the role of the user. […]

The Challenges of Data Quality

The Data Quality and Data Management market is going through a paradigm shift where the focus has turned to the business user. Historically, business users have been at the mercy of over-burdened IT departments with limited resources, but IT is not to blame. Even with the simplest query, the answer used to be “It’ll be […]

ETL vs. Data Preparation

Extract, Transform, and Load (ETL) technologies, managed exclusively by IT, have until recently been the primary tool used to combine data from multiple sources and thus provide the ability to drive important business decision making for organizations. But, with the advent of self-service data preparation, business users and subject matter experts (SMEs) can find those […]

Streaming Analytics: The Value is in the Action

“When we’re talking about streaming analytics, we’re talking about flipping our traditional paradigm a little bit and thinking about how we bring analytics to our data, and not necessarily data to our analytics,” said Kimberly Nevala, the Director of Business Strategies for SAS Best Practices, while discussing streaming analytics during the DATAVERSITY® Enterprise Analytics Online […]

Data Governance vs. Master Data Management

“Data Governance is the creation of rules, the execution of those rules, and the adjudication of any violation of the rules,” remarked Frank Cerwin in a recent DATAVERSITY® interview. He likened its structure to the three branches of the government: “The legislative branch makes the laws, the executive branch executes the laws, and the judicial […]

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