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The Realities of Agile Transformation

Dataversity

The topic of agile transformation is emerging, either driven “bottom-up” from product leaders or “top-down” by C-level executives. Being primarily transformation of the business, it is a response to digital strategy, thus connected with a wide range of topics – including Data Governance and Enterprise Architecture.

Agile 130
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The End of Agile – Part 2 (Critiques of Agile)

The Data Administration Newsletter

In the first article of this series, I laid out the basic premise for this series: an examination of how Agile has gone from the darling of the application development community to a virtual pariah that nobody wants to be associated with, and an exploration of the very important question of what we should replace […]

Agile 59
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Information Marts: Enabling Agile, Scalable, and Accurate BI

Astera

Businesses need scalable, agile, and accurate data to derive business intelligence (BI) and make informed decisions. Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. This tailored approach is central to agile BI practices.

Agile 52
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Data Vault 2.0: What You Need to Know

Astera

With its foundation rooted in scalable hub-and-spoke architecture, Data Vault 1.0 provided a framework for traceable, auditable, and flexible data management in complex business environments. Building upon the strengths of its predecessor, Data Vault 2.0 Data Vault 2.0 What’s New in Data Vault 2.0?

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Scaling Data Access Governance

Dataversity

The rise of data lakes and adjacent patterns such as the data lakehouse has given data teams increased agility and the ability to leverage major amounts of data. Constantly evolving data privacy legislation and the impact of major cybersecurity breaches has led to the call for responsible data […].

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Data fabrics bring the power of data to the people

Tableau

Editor's note: This article originally appeared in Forbes , by Wendy Turner-Williams, Chief Data Officer, Tableau. In today’s fast-paced world of competing business priorities, the capacity to enable self-service data analytics with right-sized data governance is key. The problem data fabrics are designed to solve.

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Data fabrics bring the power of data to the people

Tableau

Editor's note: This article originally appeared in Forbes , by Wendy Turner-Williams, Chief Data Officer, Tableau. In today’s fast-paced world of competing business priorities, the capacity to enable self-service data analytics with right-sized data governance is key. The problem data fabrics are designed to solve.