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Can I read Building Modern Data Applications Using Databricks Lakehouse: Develop, optimize, and monitor data pipelines on Databricks on EtoBox?

Building Modern Data Applications Using Databricks Lakehouse: Develop, optimize, and monitor data pipelines on Databricks by Will Girten is a nonfiction available to read on EtoBox.

What is Building Modern Data Applications Using Databricks Lakehouse: Develop, optimize, and monitor data pipelines on Databricks about?

Get up to speed with the Databricks Data Intelligence Platform to build and scale modern data applications, leveraging the latest advancements in data engineering Key Features- Learn how to work with real-time data using Delta Live Tables - Unlock insights into the performance of data pipelines using Delta Live Tables - Apply your knowledge to Unity Catalog for robust data security and governance Book DescriptionWith so many tools to choose from in today's data engineering development stack as well as operational complexity, this often overwhelms data engineers, causing them to spend less time gleaning value from their data and more time maintaining complex data pipelines. Guided by a lead specialist solutions architect at Databricks with 10+ years of experience in data and AI, this book shows you how the Delta Live Tables framework simplifies data pipeline development by allowing you to focus on defining input data sources, transformation logic, and output table destinations. This book gives you an overview of the Delta Lake format, the Databricks Data Intelligence Platform, and the Delta Live Tables framework. It teaches you how to apply data transformations by implementing the D

Who reads Building Modern Data Applications Using Databricks Lakehouse: Develop, optimize, and monitor data pipelines on Databricks?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Will Girten
Publisher
Packt Publishing Pvt Ltd
Published
2024
Language
EN
ISBN
9781804619780
Category
nonfiction
Subjects
Computer Science, Programming, Stem

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