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Data Lakehouse

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May 1, 2024 3 minute read

What is a Data Lakehouse?

A data lakehouse is a hybrid data management architecture that combines the scalability and cost-effectiveness of a data lake with the structure and governance of a data warehouse. This allows organizations to store and process both structured and unstructured data in a single platform, making it easier to derive insights from all of their data.

Why Learn About Data Lakehouse?

There are many reasons to learn about data lakehouse, including:

Path to Data Lakehouse

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We've curated two courses to help you on your path to Data Lakehouse. Use these to develop your skills, build background knowledge, and put what you learn to practice.

Sorted from most relevant to least relevant:

The Complete dbt (Data Build Tool) Bootcamp: Zero to Hero

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Mastering Generative AI for Data Engineering

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Reading list

We've selected three books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Data Lakehouse.

Big Data Technologies and Applications

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Provides a detailed overview of the data lakehouse concept and its benefits, including architecture, use cases, and best practices.

Big Data Technologies and Applications

Kindle Edition

$$$

Azure Data and AI Architect Handbook

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Provides a hands-on guide to building and managing a data lakehouse. It covers the entire data lifecycle, from data ingestion to analysis and visualization.

Azure Data and AI Architect Handbook: Adopt a...

Paperback

Azure Data and AI Architect Handbook: Adopt a...

Kindle Edition

Data Warehousing

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Provides a detailed overview of the data lakehouse architecture. It discusses the benefits and challenges of this approach, and provides guidance on how to design and implement a data lakehouse in your organization.

Data Warehousing: Architecture and Implementation

Hardcover

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