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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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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 […].

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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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A Retrospective of 2018’s Articles

Peter James Thomas

This increase was driven in part by the launch of my new Maths & Science section , articles from which claimed no fewer than 6 slots in the 2018 top 10 articles, when measured by hits [1]. This is my selection of the articles that I enjoyed writing most, which does not always overlap with the most popular ones. May onwards.

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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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Modernizing Data Analytics Architecture with the Denodo Platform on Azure

Data Virtualization

Reading Time: 2 minutes Today, many businesses are modernizing their on-premises data warehouses or cloud-based data lakes using Microsoft Azure Synapse Analytics. Unfortunately, with data spread.

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Data Mesh and Unified Data Access Governance

TDAN

In her groundbreaking article, How to Move Beyond a Monolithic Data Lake to a Distributed Data Mesh, Zhamak Dehghani made the case for building data mesh as the next generation of enterprise data platform architecture.