The Agile Journey in 2022: DevOps, Cloud, Automation, and Data Management

At a time when business agility is as important as ever, new technology trends in DevOps, cloud, automation, and data management are increasingly merging as organizations look to streamline complex processes and increase the time-to-value of new initiatives. This agile journey is about removing the barriers between the business and its customers, as well as its data and employees, to accelerate the delivery of business value. However, challenges remain, from scalability issues to poor visibility between teams and difficulties managing the growing complexity of the cloud and microservices world.

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Enterprise Architecture vs. Data Architecture

Enterprise Architecture (EA) provides a visual blueprint of the organization, and shows key interrelationships between data, process, applications, and more.

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Graph Databases – Benefits and Risks

Graph databases provide the ability to quickly discover and integrate key relationships between enterprise data sets. Business use cases such

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Business-Centric Data Modeling

Business-centric data models are key to gaining a clear view of the data that drives the business – from customers

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Data Quality Best Practices

Tackling Data Quality problems requires more than a series of tactical, one-off improvement projects. By their nature, many Data Quality

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From Edge to Cloud: IoT Data Management and Stream Processing

Right now, nearly half of all DBTA subscribers are focused on streaming data, followed closely by IoT, which is no

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Top Trends in Modern Data Architecture for 2022

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The Agile Journey in 2022: DevOps, Cloud, Automation, and Data Management

At a time when business agility is as important as ever, new technology trends in DevOps, cloud, automation, and data

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Overcoming Data Management Challenges in Machine Learning

The adoption of machine learning in the enterprise continues to grow as more businesses – hungry for automation and intelligence

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Bringing Universal Connectivity to Cloud Data Platforms

The ability to create connected datasets is becoming one of the biggest competitive differentiators in enterprise operations. But with the