At its core, data mesh challenges the traditional centralized model of Data Management, where a single team or department is responsible for managing all...
Data Quality (DQ), the degree of business and consumer confidence in data’s usefulness, remains a sticking point to getting business insights and managing risk....
Data Governance plays a crucial role in modern business, yet the approach to it is often mired in unhelpful misconceptions.
While 61% of leaders indicate...
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Few data concepts are more polarizing than ETL (extract-transform-load), the preparation technique that has dominated enterprise operations for several decades. Developed...
In the fast-paced world of sales today, every customer interaction holds significant value. Reps grab phone numbers for calls and texts, get home addresses...
Expect an increase in business-driven and elegant Data Modeling – the plans, and activities around diagramming requirements for data architecture. These Data Modeling trends will gain traction...
There’s a compelling rationale for SQL Server not being the easiest pick for Kubernetes containerization initiatives. SQL Server environments are often characterized as formidable...
