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Importance of Data Governance and its Principles

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: [link] What is DATA by Definition? Source: [link] Data are details, facts, statistics, or pieces of information, typically numerical. Data are a set of values of qualitative or quantitative variables about one or more persons or objects.

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Data Governance and Its Benefits

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. However, such success is increasingly unattainable without a robust data management program. However, such success is increasingly unattainable without a robust data management program. As today’s average industry captures vast volumes […].

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Get to Know About Modern Data Governance

Analytics Vidhya

Introduction Given the world’s growing user base across devices and applications in recent years, we have seen a huge surge in not just the volume of data we are collecting but also in the number and variety of sources. The post Get to Know About Modern Data Governance appeared first on Analytics Vidhya.

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The future of data: A 5-pillar approach to modern data management

CIO Business Intelligence

This approach is repeatable, minimizes dependence on manual controls, harnesses technology and AI for data management and integrates seamlessly into the digital product development process. The higher the criticality and sensitivity to data downtime, the more engineering and automation are needed.

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Implementing Data Governance in Data Science Pipelines: Techniques and Best Practices

KDnuggets

Discover the keys for a successful adoption of data governance schemes in your data science projects.

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Application of Data Science in the World of FinTech

Analytics Vidhya

Introduction In today’s dynamic financial landscape, data science has become a cornerstone of the FinTech and banking industries. It has emerged as the driving force behind informed decision-making, benefiting both customers and the financial industry as a whole.

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How EUROGATE established a data mesh architecture using Amazon DataZone

AWS Big Data

For container terminal operators, data-driven decision-making and efficient data sharing are vital to optimizing operations and boosting supply chain efficiency. Two use cases illustrate how this can be applied for business intelligence (BI) and data science applications, using AWS services such as Amazon Redshift and Amazon SageMaker.

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