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Building Modern Data Applications Using Databricks Lakehouse. Develop, optimize, and monitor data pipelines on Databricks

Język publikacji: angielskim
Autor:
Will Girten
Building Modern Data Applications Using Databricks Lakehouse. Develop, optimize, and monitor data pipelines on Databricks Will Girten - okladka książki

Building Modern Data Applications Using Databricks Lakehouse. Develop, optimize, and monitor data pipelines on Databricks Will Girten - okladka książki

Serie wydawnicze:
Hands-on
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
246
Dostępne formaty:
     PDF
     ePub

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With 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 Databricks medallion architecture and continuously monitor the data quality of your pipelines. You’ll learn how to handle incoming data using the Databricks Auto Loader feature and automate real-time data processing using Databricks workflows. You’ll master how to recover from runtime errors automatically.
By the end of this book, you’ll be able to build a real-time data pipeline from scratch using Delta Live Tables, leverage CI/CD tools to deploy data pipeline changes automatically across deployment environments, and monitor, control, and optimize cloud costs.

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O autorze książki

Will Girten is a lead specialist solutions architect who joined Databricks in early 2019. With over a decade of experience in data and AI, Will has worked in various business verticals, from healthcare to government and financial services. Will's primary focus has been helping enterprises implement data warehousing strategies for the lakehouse and performance-tuning BI dashboards, reports, and queries. Will is a certified Databricks Data Engineering Professional and Databricks Machine Learning Professional. He holds a Bachelor of Science in computer engineering from the University of Delaware.

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