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Innovative data integration in 2024: Pioneering the future of data integration

CIO Business Intelligence

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

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Data Integration: It’s not a Technological Challenge, but a Semantic Adventure

Data Virtualization

Reading Time: 3 minutes Often, our fascination with technology leads us to focus on the details of our work rather than its essence; we risk seeing technology not as a means to an end but as the goal, and this is especially true when.

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How to manage data integration during an acquisition

CIO Business Intelligence

IT teams hold a lot of innovation power, as effective use of emerging technologies is crucial for informed decision-making and is key to staying a beat ahead of the competition. But adopting modern-day, cutting-edge technology is only as good as the data that feeds it.

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DataOps: Managing the Process and Technology

David Menninger's Analyst Perspectives

For decades, data integration was a rigid process. Data was processed in batches once a month, once a week or once a day. Organizations needed to make sure those processes were completed successfully—and reliably—so they had the data necessary to make informed business decisions.

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Building Best-in-Class Enterprise Analytics

Speaker: Anthony Roach, Director of Product Management at Tableau Software, and Jeremiah Morrow, Partner Solution Marketing Director at Dremio

Tableau works with Strategic Partners like Dremio to build data integrations that bring the two technologies together, creating a seamless and efficient customer experience. Through co-development and Co-Ownership, partners like Dremio ensure their unique capabilities are exposed and can be leveraged from within Tableau.

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Security In Automated Document Processing: Ensuring Data Integrity And Confidentiality

Smart Data Collective

With the rapid advancement of technology, businesses have streamlined many of their operations to ensure speed and efficiency. It’s a system that utilizes technology to convert, store, manage, and track documents without human intervention. But just like any other technology, it presents challenges—one of which is security.

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How AI and ML Can Transform Data Integration

Smart Data Collective

The data integration landscape is under a constant metamorphosis. In the current disruptive times, businesses depend heavily on information in real-time and data analysis techniques to make better business decisions, raising the bar for data integration. Why is Data Integration a Challenge for Enterprises?