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Data Analytics: The Rise of Data Lakehouses

By Dick Weisinger

‘Analytics Query Accelerators‘ is the name of a Gartner product category of enterprise software that speeds up the queries and analytics of data stored in a data lake architecture. More informally, the name ‘Data Lakehouses‘ is being used. Data Lakes

Data Cleansing: How you Clean your Data Can Alter Your Results

By Dick Weisinger

Sophisticated uses of data is allowing companies to derive insights, made predictions, and analyze customer behavior. In surveys, companies often rate data as being highly valued by businesses and organizations. 81 percent say that data can help their company be

Data Quality: The Cost of Bad Data

By Dick Weisinger

It’s too easy to get data wrong. Bad data is a costly problem. Poor data quality (DQ) can lead to bad outcomes and dire consequences for businesses. Analysts are in agreement that poor data costs companies a lot. A study

Data Management: Seeing the Big Picture with Data Ontologies

By Dick Weisinger

Think of an ontology as a cheat sheet for quickly identifying key pieces of information and their relationships within a specific field. Ontologies are a kind of data model that describes concepts and knowledge concisely. Ontologies can show interconnections and

Cloud Computing: Quality and Cataloging are Top Challenges When Managing Cloud Data

By Dick Weisinger

Businesses are moving their data to the cloud but are being faced with challenges managing their data once it is there. A report by Forrester on behalf of Capital One found that two huge challenges include data quality and data