From hybrid and multicloud, to modern data platforms and real-time analytics, a strong data architecture strategy is critical to supporting your organization’s goals. Greater speed, flexibility and scalability are common wish-list items, alongside smarter data governance and security capabilities. Many new technologies and approaches have come to the forefront of data architecture discussions.
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Enterprise Architecture (EA) provides a visual blueprint of the organization, and shows key interrelationships between data, process, applications, and more.
Graph databases provide the ability to quickly discover and integrate key relationships between enterprise data sets. Business use cases such
Business-centric data models are key to gaining a clear view of the data that drives the business – from customers
Tackling Data Quality problems requires more than a series of tactical, one-off improvement projects. By their nature, many Data Quality
Right now, nearly half of all DBTA subscribers are focused on streaming data, followed closely by IoT, which is no
From hybrid and multicloud, to modern data platforms and real-time analytics, a strong data architecture strategy is critical to supporting
At a time when business agility is as important as ever, new technology trends in DevOps, cloud, automation, and data
The adoption of machine learning in the enterprise continues to grow as more businesses – hungry for automation and intelligence
The ability to create connected datasets is becoming one of the biggest competitive differentiators in enterprise operations. But with the