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Why Spatial Data Governance is Critical to Your Business Strategy

Precisely

As a matter of fact, understanding the importance of data governance, the prevalence of location data, and how combining these can help you improve the success of your strategic data programs. With that in mind, why do organizations still continue to disregard how important spatial data is their data strategy programs?

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Data Governance Trends for 2024

Precisely

The more mainstream it becomes, the more we see data governance being rolled into the categories of “active metadata management” and “augmented data quality”; it’s simply become an assumption that’s part of any data quality or excellence initiative. AI without data governance is a huge liability.

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Introducing Project Inception: The Next Evolution in Data Automation

Ascend.io

This initiative is more than just an upgrade; it’s a reimagining of what a Data Automation Platform can be: dynamic, extensible, and highly intelligent. A unified platform that combines a powerful metadata core, an extensible plugin architecture, DataAware automation, and multiple AI Assistants.

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How to Stay Ahead with Sustainable Compliance for Financial Services

Precisely

The 2023 Data Integrity Trends and Insights Report , published in partnership between Precisely and Drexel University’s LeBow College of Business, surveyed more than 450 data and analytics professionals on the state of their data programs. In other words, making big pushes towards sustainable compliance.

Banking 62
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Highest Paying Data Science Jobs in the World

Knowledge Hut

Data science is an interdisciplinary academic domain that utilizes scientific methods, scientific computing, statistics, algorithms, processes, and systems to extrapolate or extract knowledge and insights from unstructured, structured, and noisy data. Average Annual Salary of Data Modeler A data modeler can earn $126,811 annually.

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From Data Quality to Data Integrity: The Path to Trusted Data

Precisely

For the report, more than 450 data and analytics professionals worldwide were surveyed about the state of their data programs. In the context of improving their organizations’ data integrity , respondents cite data quality and data integration as priorities for 2023 and as challenges to data integrity.

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Build Maintainable And Testable Data Applications With Dagster

Data Engineering Podcast

In an effort to create a better abstraction for building data applications Nick Schrock created Dagster. In this episode he explains his motivation for creating a product for data management, how the programming model simplifies the work of building testable and maintainable pipelines, and his vision for the future of data programming.

Building 100