Description

In this white paper, we will walk you through the different solutions available and help you make a choice based on your business needs. Whether you need to implement a data storage solution or you are considering what technological move to make next, let’s understand their differences together!

Chapters

  • 1/ Introduction
  • 2/ Data Warehouse
  • 3/ Data Lake
  • 4/ Data Lakehouse
  • 5/ Data Hub
  • 6/ Data Mesh
  • 7/ Conclusion
  • 8/ Comparative Table

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The Path to Data Centricity 5: Why a Data Mesh

business strategy, data architecture

Find out the differences between storing solutions to support your data-driven strategy (part 5).

The Path to Data Centricity 4: Why a Data Hub

business strategy, data architecture

Find out the differences between storing solutions to support your data-driven strategy (part 4).

The Path to Data Centricity 3: Why a Data Lakehouse

business strategy, data architecture

Our data architect Charles Bonneau tells you what a datalakehouse is and how to get the most out of it.

The Path to Data Centricity 2: Why a Data Lake

business strategy, data architecture

Explore the benefits and downsides of data lakes in our new article.

The Path to Data Centricity 1: Why a Data Warehouse

business strategy, data architecture

Find out the differences between storing solutions to support your data-driven strategy (part 1).