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7 Factors to Consider When Deploying a Modern Data Estate

Dataversity

The abilities of an organization towards capturing, storing, and analyzing data; searching, sharing, transferring, visualizing, querying, and updating data; and meeting compliance and regulations are mandatory for any sustainable organization. For example, most data warehouses […].

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Build Data Warehouse with Concentrated Teams

Astera

Enterprises will soon be responsible for creating and managing 60% of the global data. Traditional data warehouse architectures struggle to keep up with the ever-evolving data requirements, so enterprises are adopting a more sustainable approach to data warehousing. Migrate to Cloud-based data architecture.

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Why You Need Cloud Data Integration for Analytics

Domo

Cloud data integration requires different tools and capabilities than integration for system applications. It is focused on accessibility of the data from any source, allowing business users to create visualizations—with the flexibility and the power of the cloud. Emphasize performance, cost reduction, and control.

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Domopalooza Revisited: 4 Data Agility Sessions That Deliver

Domo

1 – Empowering Your Organization Through Integration, Transformation, and Applied BI Strategies ( WATCH ) The last mile of analytics is more than just data visualization. Trimble was losing clients because of the inability of the prior data warehouse to scale,” said Ament, Trimble’s Data Warehouse Manager.

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How Databricks and Tableau customers are fueling innovation with data lakehouse architecture

Tableau

Domain experts, for example, feel they are still overly reliant on core IT to access the data assets they need to make effective business decisions. In all of these conversations there is a sense of inertia: Data warehouses and data lakes feel cumbersome and data pipelines just aren't agile enough.

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The Case for Moving to a Business-centric Data Architecture

Domo

Organizations I speak with tend to already have a data lake—whether it’s in the cloud or on-premise—or are looking to implement one in Domo. What’s more, data lakes make it easy to govern and secure data as well as maintain data standards (because that data sits in just one location).

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The 8 Best Hevo Data Alternatives to Build ELT/ETL Data Pipelines in 2025

Astera

What is Hevo Data and its Key Features Hevo is a data pipeline platform that simplifies data movement and integration across multiple data sources and destinations and can automatically sync data from various sources, such as databases, cloud storage, SaaS applications, or data streaming services, into databases and data warehouses.