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Integrate Data Architecture with Business Operations to Boost Success Now

Dataversity

In the contemporary data-driven business landscape, the seamless integration of data architecture with business operations has become critical for success.

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Automation With A Human Touch: Balancing Agility And Standardization

Timo Elliott

He recently explained how the organization has taken advantage of the latest technology advances to give business people more agility and control over their processes, without sacrificing standardization and efficiency: “I think the key to success, especially in times of digital transformation, lies in the philosophy and practices of lean.

Agile 305
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How a Stateless Data Architecture Can Enable You to Harness the Power of Today’s Agile Data

Dataversity

A stateful application saves data generated by each client session and uses it the next time the client makes a request. A stateless application doesn’t save client data from one session to the next. The post How a Stateless Data Architecture Can Enable You to Harness the Power of Today’s Agile Data appeared first on DATAVERSITY.

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Developing Agile Data Warehouse Architecture Using Automation

Dataversity

In the past, designing and developing a robust data warehouse that satisfied the need for timely and effective business intelligence (BI) was an overwhelmingly difficult task, as it required significant time, capital, and risk. In essence, agile […].

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Are Nimble and Business Agility the “same”? Part 2— Nimble vs Business Agility Enablers

Analysts Corner

Similarities and differences between Nimble and the model of the 6 Business Agility Enablers The concept of a Nimble organization is still sometimes compared to the capability of having Business Agility. In a previous article , I compared the Nimble concept to the Business Agility model from the Business Agility Institute (BAI).

Agile 130
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Deciphering the Pros & Cons of Real-Time Data Streaming

Smart Data Collective

It is essential to process sensitive data only after acquiring a thorough knowledge of a stream processing architecture. The data architecture assimilates and processes sizable volumes of streaming data from different data sources. This very architecture ingests data right away while it is getting generated.

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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.

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