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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 […].

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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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Modern Data Architecture: Data Warehousing, Data Lakes, and Data Mesh Explained

Data Virtualization

Reading Time: 3 minutes At the heart of every organization lies a data architecture, determining how data is accessed, organized, and used. For this reason, organizations must periodically revisit their data architectures, to ensure that they are aligned with current business goals.

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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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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.

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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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Architecture for the Data Lake

TDAN

For a while now, vendors have been advocating that people put their data in a data lake when they put their data in the cloud. The Data Lake The idea is that you put your data into a data lake. Then, at a later point in time, the end user analyst can come along and […].