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Steps Companies Should Take to Come Up Data Management Processes

Smart Data Collective

The process of managing data can be quite daunting and complicated. Data management is a set of processes and policies that organizations use to collect, store and share data. It involves understanding how the organization uses data and how the data is stored, and then working out what to do with it.

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Comparing DynamoDB and MongoDB for Big Data Management

Smart Data Collective

What Are Their Ranges of Data Models? MongoDB has a wider range of datatypes than DynamoDB, even though both databases can store binary data. The post Comparing DynamoDB and MongoDB for Big Data Management appeared first on SmartData Collective. You can also easily monitor these databases.

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Connecting the Three Spheres of Data Management to Unlock Value

Dataversity

The remainder of this point of view will explain why connecting […] The post Connecting the Three Spheres of Data Management to Unlock Value appeared first on DATAVERSITY. But only very few have succeeded in connecting the knowledge of these three efforts.

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Big Data Modeling Improves Business Intelligence

The Data Administration Newsletter

Through big data modeling, data-driven organizations can better understand and manage the complexities of big data, improve business intelligence (BI), and enable organizations to benefit from actionable insight.

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Data’s Chess Game: Strategic Moves in Data Modeling for Competitive Advantage

Dataversity

Therefore, it was just a matter of time before this chess-inspired outlook permeated my professional life as a data practitioner. In both chess and data modeling, the […] The post Data’s Chess Game: Strategic Moves in Data Modeling for Competitive Advantage appeared first on DATAVERSITY.

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Why the Next Generation of Data Management Begins with Data Fabrics

Dataversity

However, most enterprises are hampered by data strategies that leave teams flat-footed when […]. The post Why the Next Generation of Data Management Begins with Data Fabrics appeared first on DATAVERSITY. Agility is key to success here.

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How BI Can Help Enterprises Overcome The Effects Of The Pandemic

Smart Data Collective

One of the main reasons for such a disruption may be the obsolescence of many traditional data management models; that’s why they have failed to predict the crisis and its consequences. Before the pandemic, enterprise managers lived in the illusion that all future events could be predicted. Insight analytics.