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How is Web 3.0 Shaping the Future of Finance?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. We don’t have a native value settlement layer, nor do we have control over our data. Our data architectures are still founded on the idea of stand-alone computers, where data is centrally stored and maintained on a […].

Finance 291
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Building a Lakehouse – Try Delta Lake!

Analytics Vidhya

Introduction Enterprises have been building data platforms for the last few decades, and data architectures have been evolving. Let’s first look at how things have changed and how […].

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How Do You Design New Data Architectures?

Data Virtualization

Organizations are rethinking their current data architectures. This article. Unfortunately, the majority considers it a challenge. Obviously, one of the reasons is that they don’t do this every day. Also, insights about how to design them has changed over time.

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Why Every Organization Needs a Data Marketplace

Data Virtualization

Reading Time: 3 minutes Data is often hailed as the most valuable assetbut for many organizations, its still locked behind technical barriers and organizational bottlenecks. Modern data architectures like data lakehouses and cloud-native ecosystems were supposed to solve this, promising centralized access and scalability.

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Breaking State and Local Data Silos with Modern Data Architectures

Cloudera

But while state and local governments seek to improve policies, decision making, and the services constituents rely upon, data silos create accessibility and sharing challenges that hinder public sector agencies from transforming their data into a strategic asset and leveraging it for the common good. . Modern data architectures.

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Warehouse, Lake or a Lakehouse – What’s Right for you?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Most of you would know the different approaches for building a data and analytics platform. You would have already worked on systems that used traditional warehouses or Hadoop-based data lakes. Selecting one among […].

Data Lake 350
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Data’s dark secret: Why poor quality cripples AI and growth

CIO Business Intelligence

Data quality is no longer a back-office concern. In this article, I am drawing from firsthand experience working with CIOs, CDOs, CTOs and transformation leaders across industries. I aim to outline pragmatic strategies to elevate data quality into an enterprise-wide capability. federal agencies.