Verwandte Artikel zu Data Engineeringon Azure
Inhaltsangabe
There's a big gap between running machine learning and data processes as prototypes, and deploying them to a production cloud environment. Data Engineering on Azure reveals the architectural, operational, and data management techniques that power cloud-based data infrastructure built on the Microsoft Azure platform.
Data Engineering on Azure teaches you to build a scalable and robust data platform to industry-leading standards. All examples are based on the production big data platform that powers Microsoft's customer growth operations. You'll learn techniques and best practices that author Vlad Riscutia and his team use on a daily basis, including automation and DevOps, running a reliable machine learning pipeline, and managing your data inventory. Examples are illustrated with Azure. The patterns and techniques are transferable to other cloud platforms.
About the Technology
Build secure, stable data platforms that can scale to loads of any size. When a project moves from the lab into production, you need confidence that it can stand up to real-world challenges. This book teaches you to design and implement cloud-based data infrastructure that you can easily monitor, scale, and modify.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Über die Autorin bzw. den Autor
Vlad Riscutia is a software architect and data engineer at Microsoft on the Customer Growth and Analytics team.
Von der hinteren Coverseite
About the book.
In Data Engineering on Azure you'll learn the skills you need to build and maintain big data platforms in massive enterprises. This invaluable guide includes clear, practical guidance for setting up infrastructure, orchestration, workloads, and governance. As you go, you'll set up efficient machine learning pipelines, and then master time-saving automation and DevOps solutions. The Azure-based examples are easy to reproduce on other cloud platforms.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Neu kaufen
Diesen Artikel anzeigen
EUR 39,69
Gratis für den Versand innerhalb von/der USA
Versandziele, Kosten & DauerSuchergebnisse für Data Engineeringon Azure
Beispielbild für diese ISBN
Data Engineering on Azure
Anbieter: BooksRun, Philadelphia, PA, USA
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: As New. It's a preowned item in almost perfect condition. It has no visible cosmetic imperfections. May come without any shrink wrap; pages are clean and not marred by notes or folds of any kind. Bestandsnummer des Verkäufers 1617298921-10-1
Anzahl: 2 verfügbar
Beispielbild für diese ISBN
Data Engineering on Azure Format: Paperback
Anbieter: INDOO, Avenel, NJ, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: As New. Unread copy in mint condition. Bestandsnummer des Verkäufers SS9781617298929
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Data Engineering on Azure Format: Paperback
Anbieter: INDOO, Avenel, NJ, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Brand New. Bestandsnummer des Verkäufers 9781617298929
Anzahl: Mehr als 20 verfügbar
Foto des Verkäufers
Data Engineering on Azure
Anbieter: GreatBookPrices, Columbia, MD, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Bestandsnummer des Verkäufers 42649848-n
Anzahl: 1 verfügbar
Foto des Verkäufers
Data Engineeringon Azure
Anbieter: Rarewaves USA, OSWEGO, IL, USA
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: New. There's a big gap between running machine learning and data processes as prototypes, and deploying them to a production cloud environment. Data Engineering on Azure reveals the architectural, operational, and data management techniques that power cloud-based data infrastructure built on the Microsoft Azure platform. Data Engineering on Azure teaches you to build a scalable and robust data platform to industry-leading standards. All examples are based on the production big data platform that powers Microsoft's customer growth operations. You'll learn techniques and best practices that author Vlad Riscutia and his team use on a daily basis, including automation and DevOps, running a reliable machine learning pipeline, and managing your data inventory. Examples are illustrated with Azure. The patterns and techniques are transferable to other cloud platforms. About the TechnologyBuild secure, stable data platforms that can scale to loads of any size. When a project moves from the lab into production, you need confidence that it can stand up to real-world challenges. This book teaches you to design and implement cloud-based data infrastructure that you can easily monitor, scale, and modify. Bestandsnummer des Verkäufers LU-9781617298929
Anzahl: 10 verfügbar
Beispielbild für diese ISBN
Data Engineeringon Azure
Anbieter: Basi6 International, Irving, TX, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. Bestandsnummer des Verkäufers ABEJUNE24-15930
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Data Engineeringon Azure
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide. Bestandsnummer des Verkäufers ABNR-29837
Anzahl: 5 verfügbar
Beispielbild für diese ISBN
Data Engineering on Azure
Anbieter: Books Puddle, New York, NY, USA
Verkäuferbewertung 4 von 5 Sternen
Zustand: New. Bestandsnummer des Verkäufers 26384597204
Anzahl: 2 verfügbar
Beispielbild für diese ISBN
Data Engineeringon Azure (Paperback)
Verlag:
Manning Publications, New York, 2022
ISBN 10: 1617298921
ISBN 13: 9781617298929
Neu
Paperback
Anbieter: Grand Eagle Retail, Mason, OH, USA
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: new. Paperback. There's a big gap between running machine learning and data processes as prototypes, and deploying them to a production cloud environment. Data Engineering on Azure reveals the architectural, operational, and data management techniques that power cloud-based data infrastructure built on the Microsoft Azure platform. Data Engineering on Azure teaches you to build a scalable and robust data platform to industry-leading standards. All examples are based on the production big data platform that powers Microsoft's customer growth operations. You'll learn techniques and best practices that author Vlad Riscutia and his team use on a daily basis, including automation and DevOps, running a reliable machine learning pipeline, and managing your data inventory. Examples are illustrated with Azure. The patterns and techniques are transferable to other cloud platforms. About the TechnologyBuild secure, stable data platforms that can scale to loads of any size. When a project moves from the lab into production, you need confidence that it can stand up to real-world challenges. This book teaches you to design and implement cloud-based data infrastructure that you can easily monitor, scale, and modify. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9781617298929
Anzahl: 1 verfügbar
Foto des Verkäufers
Data Engineering on Azure
Anbieter: GreatBookPrices, Columbia, MD, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: As New. Unread book in perfect condition. Bestandsnummer des Verkäufers 42649848
Anzahl: 1 verfügbar