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Build an Agile Data Warehouse with an Iterative Approach

Astera

If you have had a discussion with a data engineer or architect on building an agile data warehouse design or maintaining a data warehouse architecture, you’d probably hear them say that it is a continuous process and doesn’t really have a definite end. What do you need to build an agile data warehouse?

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Why You Need Cloud Data Integration for Analytics

Domo

To ensure harmony, here are some key points to consider as you are weighing cloud data integration for analytics: Act before governance issues compound. There are limits to data lake and data warehouse configurations, especially when these limitations scale due to company size and complexity within the organization.

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5 Data Management Trends to Watch in 2023

Astera

Source: Gartner As companies continue to move their operations to the cloud, they are also adopting cloud-based data integration solutions, such as cloud data warehouses and data lakes. Interested in Learning More About Cloud Data Integration? Download Free Whitepaper 2.

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Why ESMA’s ESEF is a Good Place to Start Transforming the Finance Function

Insight Software

Second, boost finance’s role in managing data, whether consolidating, simplifying, or controlling the flood of information flowing across the organization. Third, strengthen decision-making through widespread adoption of data-visualization, advanced-analytics, and debiasing techniques. Kickstarting Change.

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Elevate Insights: How Embedded Analytics Boost Decision Intelligence

Insight Software

This empowered Brivo’s customers to transform raw data into valuable security intelligence, ultimately strengthening their physical security measures. Logi Symphony’s out-of-the-box features like data joining and multi-platform support further enhanced the solution. Want to learn more?