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Top 4 Data Integration Tools for Modern Enterprises

KDnuggets

Maintaining a centralized data repository can simplify your business intelligence initiatives. Here are four data integration tools that can make data more valuable for modern enterprises.

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5 modern challenges in data integration and how CIOs can overcome them

CIO Business Intelligence

That’s just one of the many ways to define the uncontrollable volume of data and the challenge it poses for enterprises if they don’t adhere to advanced integration tech. As well as why data in silos is a threat that demands a separate discussion. This post handpicks various challenges for existing integration solutions.

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Top 4 Data Integration Tools for Modern Enterprises

KDnuggets

Maintaining a centralized data repository can simplify your business intelligence initiatives. Here are four data integration tools that can make data more valuable for modern enterprises.

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Enterprise Data Integration: Better Data, Smarter Decisions

Sisense

The first step towards doing that is to bring all your organization’s data: all your disparate datasets, wherever they live (on-prem and in a variety of cloud sources, no doubt) into an enterprise BI tool. All this data needs to come together in one place in order for the organization to reap the benefits of an enterprise BI tool.

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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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How Artificial Intelligence Can Transform Data Integration

KDnuggets

Let's take a look at what goes into creating a foundation for enterprise-wide data intelligence and how AI and ML can permanently transform data integration.

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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?

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Data & Analytics Maturity Model Workshop Series

Speaker: Dave Mariani, Co-founder & Chief Technology Officer, AtScale; Bob Kelly, Director of Education and Enablement, AtScale

Integrating data from third-party sources. Developing a data-sharing culture. Combining data integration styles. Translating DevOps principles into your data engineering process. Using data models to create a single source of truth. Making everyone a data analyst with a semantic layer.