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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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The Hype Around Semantic Layers: How Important Are Standards?

Dataversity

There are several reasons why the notion of semantic layers has reached the forefront of today’s data management conversations. The analyst community is championing the data fabric tenet. The data mesh and data lake house architectures are gaining traction. Data lakes are widely deployed.

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A Step Ahead: Data Fabric and Data Mesh – Similarities and Differences

The Data Administration Newsletter

The terms Data Mesh and Data Fabric have been used extensively as data management solutions in conversations these days, and sometimes interchangeably, to describe techniques for organizations to manage and add value to their data.

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Why Data Analysts End Up Playing Data Detective

Dataversity

Many data analysts are getting a raw deal. For all the optimism around cloud-based systems promising to make Data Management easier, analysts often wind up playing detective ­– battling through huge information stores on the hunt for useful data, instead of running analysis.

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Lack of Proper Test Data Poses Bottleneck

The Data Administration Newsletter

IT is operating at a faster pace than ever before and has become a vital component of modern business. Implementing an optimized test data management program […] The speed of application development is becoming a decisive factor for a company’s success.

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Exploring Cloud Computing Risks and Security Hurdles

The Data Administration Newsletter

The worldwide shift toward cloud computing significantly changes how businesses approach data management and operation. Regardless of whether private, public, or hybrid cloud models are employed, the advantages of cloud computing are numerous, including heightened efficiency, reduced expenses, and increased flexibility.

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Tales & Tips from the Trenches: Demystifying Edge Computing

The Data Administration Newsletter

With increasing number of Internet of Things (IoT) getting connected and the ongoing boom in Artificial Intelligence (AI), Machine Learning (ML), Human Language Technologies (HLT) and other similar technologies, comes the demanding need for robust and secure data management in terms of data processing, data handling, data privacy, and data security.