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Sinossi
The Microsoft Azure cloud is an ideal platform for data-intensive applications. Designed for productivity, Azure provides pre-built services that make collection, storage, and analysis much easier to implement and manage.
Azure Data Engineering teaches you how to design a reliable, performant, and cost-effective data infrastructure in Azure by progressively building a complete working analytics system.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sugli autori
Richard Nuckolls is a senior developer building a big data analytics and reporting system in Azure. During his nearly 20 years of experience, he's done server and database administration, desktop and web development, and more recently has led teams in building a production content management system in Azure.
Richard Nuckolls is a senior developer building a big data analytics and reporting system in Azure. During his nearly 20 years of experience, he's done server and database administration, desktop and web development, and more recently has led teams in building a production content management system in Azure.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Azure Storage, Streaming, and Batch Analytics: A guide for data engineers
Editore:
Manning Publications, 2020
ISBN 10: 1617296309
ISBN 13: 9781617296307
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Paperback. Condizione: Very Good. Azure Data Engineering teaches you how to design a reliable, performant, and cost-effective data infrastructure in Azure by progressively building a complete working analytics system. Readers should be comfortable with RDBMS systems like SQL Server and scripting using a language like PowerShell, Bash, or Python. Book examples use PowerShell and C#. The Microsoft Azure cloud is an ideal platform for data-intensive applications. Designed for productivity, Azure provides pre-built services that make collection, storage, and analysis much easier to implement and manage. The Microsoft Azure cloud platform can host virtually any sort of computing task, from simple web applications to full-scale enterprise systems. With many pre-built services for everything from data storage to advanced machine learning, Azure offers all the building blocks for scalable big data analysis systems including ingestion, processing, querying, and migration. ? Azure cloud services architecture ? Building a data warehouse in Azure ? How to choose the right Azure technology for your task ? Calculating fixed and variable costs ? Hot and cold path analytics Richard Nuckolls is a senior developer building a big data analytics and reporting system in Azure. During his nearly 20 years of experience, he?s done server and database administration, desktop and web development, and more recently has led teams in building a production content management system in Azure. . Codice articolo 00109117000
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Azure Storage, Streaming, and Batch Analytics: A guide for data engineers
Editore:
Manning Publications, 2020
ISBN 10: 1617296309
ISBN 13: 9781617296307
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Da: World of Books Inc, Montgomery, IL, U.S.A.
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Paperback. Condizione: Very Good. Azure Data Engineering teaches you how to design a reliable, performant, and cost-effective data infrastructure in Azure by progressively building a complete working analytics system. Readers should be comfortable with RDBMS systems like SQL Server and scripting using a language like PowerShell, Bash, or Python. Book examples use PowerShell and C#. The Microsoft Azure cloud is an ideal platform for data-intensive applications. Designed for productivity, Azure provides pre-built services that make collection, storage, and analysis much easier to implement and manage. The Microsoft Azure cloud platform can host virtually any sort of computing task, from simple web applications to full-scale enterprise systems. With many pre-built services for everything from data storage to advanced machine learning, Azure offers all the building blocks for scalable big data analysis systems including ingestion, processing, querying, and migration. ? Azure cloud services architecture ? Building a data warehouse in Azure ? How to choose the right Azure technology for your task ? Calculating fixed and variable costs ? Hot and cold path analytics Richard Nuckolls is a senior developer building a big data analytics and reporting system in Azure. During his nearly 20 years of experience, he?s done server and database administration, desktop and web development, and more recently has led teams in building a production content management system in Azure. . Codice articolo CIN1617296309VG
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Azure Storage, Streaming, and Batch Analytics: A guide for data engineers
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Condizione: very_good. Fast Free Shipping â" Very Good condition book with a firm cover and clean pages. Shows normal use and some light wear or limited notes markings. A solid, nice copy to enjoy. Codice articolo GWV.1617296309.VG
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Azure Storage, Streaming, and Batch Analytics: A guide for data engineers
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Paperback. Condizione: new. New Copy. Customer Service Guaranteed. Codice articolo 21P46_93_1617296309
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Azure Storage, Streaming, and Batch Analytics: A guide for data engineers
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Azure Data Engineering Format: Paperback
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ISBN 10: 1617296309
ISBN 13: 9781617296307
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Condizione: As New. Unread copy in mint condition. Codice articolo SS9781617296307
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Azure Data Engineering Format: Paperback
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Condizione: New. Brand New. Codice articolo 9781617296307
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Azure Storage, Streaming, and Batch Analytics
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Paperback. Condizione: New. Azure Data Engineering teaches you how to design a reliable, performant, and cost-effective data infrastructure in Azure by progressively building a complete working analytics system. Readers should be comfortable with RDBMS systems like SQL Server and scripting using a language like PowerShell, Bash, or Python. Book examples use PowerShell and C#. The Microsoft Azure cloud is an ideal platform for data-intensive applications. Designed for productivity, Azure provides pre-built services that make collection, storage, and analysis much easier to implement and manage. The Microsoft Azure cloud platform can host virtually any sort of computing task, from simple web applications to full-scale enterprise systems. With many pre-built services for everything from data storage to advanced machine learning, Azure offers all the building blocks for scalable big data analysis systems including ingestion, processing, querying, and migration. . Azure cloud services architecture . Building a data warehouse in Azure . How to choose the right Azure technology for your task . Calculating fixed and variable costs . Hot and cold path analytics Richard Nuckolls is a senior developer building a big data analytics and reporting system in Azure. During his nearly 20 years of experience, he's done server and database administration, desktop and web development, and more recently has led teams in building a production content management system in Azure. Codice articolo LU-9781617296307
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Azure Storage, Streaming, and Batch Analytics: A guide for data engineers
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Paperback. Condizione: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. Codice articolo GOR014059103
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Azure Data Engineering: A guide for data engineers
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Condizione: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present. Codice articolo M01617296309-G
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