Marco tranquillin (24 résultats)
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Vendeur : World of Books (was SecondSale), Montgomery, IL, Etats-UnisWorld of Books (was SecondSale)
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Occasion - Satisfaisant
EUR 17,59
Frais de port gratuitsExpédition nationale : Etats-UnisQuantité disponible : 1 disponible(s)
Etat : Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
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Vendeur : HPB-Red, Dallas, TX, Etats-UnisHPB-Red
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Occasion - Satisfaisant
EUR 16,76
EUR 3,21 expéditionExpédition nationale : Etats-UnisQuantité disponible : 1 disponible(s)
paperback. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.
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Vendeur : ThriftBooks-Dallas, Dallas, TX, Etats-UnisThriftBooks-Dallas
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Occasion - Satisfaisant
EUR 20,27
Frais de port gratuitsExpédition nationale : Etats-UnisQuantité disponible : 1 disponible(s)
Paperback. Etat : Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
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Vendeur : eCampus, Lexington, KY, Etats-UniseCampus
Contacter le vendeurVendeur avec une évaluation de 4 étoilesEtat: Neuf
EUR 33,29
EUR 3,42 expéditionExpédition nationale : Etats-UnisQuantité disponible : 4 disponible(s)
Etat : New.
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Vendeur : GreatBookPrices, Columbia, MD, Etats-UnisGreatBookPrices
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 40,71
EUR 2,26 expéditionExpédition nationale : Etats-UnisQuantité disponible : 2 disponible(s)
Etat : New.
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Vendeur : BargainBookStores, Grand Rapids, MI, Etats-UnisBargainBookStores
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 44,28
Frais de port gratuitsExpédition nationale : Etats-UnisQuantité disponible : 5 disponible(s)
Paperback or Softback. Etat : New. Architecting Data and Machine Learning Platforms: Enable Analytics and Ai-Driven Innovation in the Cloud. Book.
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Vendeur : PBShop.store US, Wood Dale, IL, Etats-UnisPBShop.store US
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 45,59
Frais de port gratuitsExpédition nationale : Etats-UnisQuantité disponible : 15 disponible(s)
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
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Vendeur : GreatBookPrices, Columbia, MD, Etats-UnisGreatBookPrices
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Occasion - Comme neuf
EUR 45,00
EUR 2,26 expéditionExpédition nationale : Etats-UnisQuantité disponible : 2 disponible(s)
Etat : As New. Unread book in perfect condition.
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Vendeur : California Books, Miami, FL, Etats-UnisCalifornia Books
Contacter le vendeurVendeur avec une évaluation de 4 étoilesEtat: Neuf
EUR 48,52
Frais de port gratuitsExpédition nationale : Etats-UnisQuantité disponible : Plus de 20 disponibles
Etat : New.
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Vendeur : Rarewaves USA, HEBRON, KY, Etats-UnisRarewaves USA
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 50,47
Frais de port gratuitsExpédition nationale : Etats-UnisQuantité disponible : Plus de 20 disponibles
Paperback. Etat : New. All cloud architects need to know how to build data platforms-the key to enabling businesses with data and delivering enterprise-wide intelligence in a fast and efficient way. This handbook is ideal for learning how to design, build, and modernize cloud native data and machine learning platforms using AWS,… Azure, Google Cloud, or multicloud tools like Fivetran, dbt, Snowflake, and Databricks.Authors Marco Tranquillin, Valliappa Lakshmanan, and Firat Tekiner cover the entire data lifecycle in a cloud environment, from ingestion to activation, using real-world enterprise architectures. You'll learn how to transform and modernize familiar solutions, like data warehouses and data lakes, and you'll be able to leverage recent AI/ML patterns to get accurate and quicker insights to drive competitive advantage.This book shows you how to:Design a modern cloud native or hybrid data analytics and machine learning platformAccelerate data-led innovation by consolidating enterprise data in a data platformDemocratize access to enterprise data and allow business teams to extract insights and build AI/ML capabilitiesEnable your business to make decisions in real time using streaming pipelinesMove from a descriptive analytics approach to a more predictive and prescriptive one by building an MLOps platformMake your organization more effective in working with data analytics and machine learning in a cloud environment.
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Vendeur : Rarewaves.com USA, London, LONDO, Royaume-UniRarewaves.com USA
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 58,14
Frais de port gratuitsExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : Plus de 20 disponibles
Paperback. Etat : New. All cloud architects need to know how to build data platforms-the key to enabling businesses with data and delivering enterprise-wide intelligence in a fast and efficient way. This handbook is ideal for learning how to design, build, and modernize cloud native data and machine learning platforms using AWS,… Azure, Google Cloud, or multicloud tools like Fivetran, dbt, Snowflake, and Databricks.Authors Marco Tranquillin, Valliappa Lakshmanan, and Firat Tekiner cover the entire data lifecycle in a cloud environment, from ingestion to activation, using real-world enterprise architectures. You'll learn how to transform and modernize familiar solutions, like data warehouses and data lakes, and you'll be able to leverage recent AI/ML patterns to get accurate and quicker insights to drive competitive advantage.This book shows you how to:Design a modern cloud native or hybrid data analytics and machine learning platformAccelerate data-led innovation by consolidating enterprise data in a data platformDemocratize access to enterprise data and allow business teams to extract insights and build AI/ML capabilitiesEnable your business to make decisions in real time using streaming pipelinesMove from a descriptive analytics approach to a more predictive and prescriptive one by building an MLOps platformMake your organization more effective in working with data analytics and machine learning in a cloud environment.
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Vendeur : Brook Bookstore On Demand, Napoli, NA, ItalieBrook Bookstore On Demand
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 47,44
EUR 11,00 expéditionExpédition depuis Italie vers Etats-UnisQuantité disponible : Plus de 20 disponibles
Etat : new.
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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-UniGreatBookPricesUK
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 43,17
EUR 17,53 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : 1 disponible(s)
Etat : New.
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Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-UnisGrand Eagle Retail
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 67,87
Frais de port gratuitsExpédition nationale : Etats-UnisQuantité disponible : 1 disponible(s)
Paperback. Etat : new. Paperback. All cloud architects need to know how to build data platforms--the key to enabling businesses with data and delivering enterprise-wide intelligence in a fast and efficient way. This handbook is ideal for learning how to design, build, and modernize cloud native data and machine learning platform…s using AWS, Azure, Google Cloud, or multicloud tools like Fivetran, dbt, Snowflake, and Databricks. Authors Marco Tranquillin, Valliappa Lakshmanan, and Firat Tekiner cover the entire data lifecycle in a cloud environment, from ingestion to activation, using real-world enterprise architectures. You'll learn how to transform and modernize familiar solutions, like data warehouses and data lakes, and you'll be able to leverage recent AI/ML patterns to get accurate and quicker insights to drive competitive advantage. This book shows you how to: Design a modern cloud native or hybrid data analytics and machine learning platform Accelerate data-led innovation by consolidating enterprise data in a data platform Democratize access to enterprise data and allow business teams to extract insights and build AI/ML capabilities Enable your business to make decisions in real time using streaming pipelines Move from a descriptive analytics approach to a more predictive and prescriptive one by building an MLOps platform Make your organization more effective in working with data analytics and machine learning in a cloud environment About the AuthorsMarco is leading a Principal Architect and Customer Engineering team at Google Cloud who helps Italian financial and insurance firms to adopt and leverage cloud data technologies to solve business problems. In the past he led the European Data Analytics practice within Google Cloud and has more than 10 years of experience working in complex IT cloud projects for many global firms.Lak works with management and data teams across a range of industries to help them employ data and AI-driven innovation to grow their businesses and increase value. Prior to this, Lak was the Director for Data Analytics and AI Solutions on Google Cloud and a Research Scientist at NOAA. He is a co-author of Data Science on the Google Cloud Platform, BigQuery: The Definitive Guide, and Machine Learning Design Patterns, all published by O'Reilly.Firat is an adjunct professor at the University of Manchester and a Senior Product Manager in Google Cloud. Firat has over 20 years of experience in designing and delivering bespoke information systems for some of the world's largest research, education, telecommunications, finance and retail organizations. Following roles within National Supercomputing Services and National Centre for Text Mining, he has over 30 publications in the areas of Parallel Computing, Big Data, Artificial Intelligence and Computer Communications. This handbook is ideal for learning how to design, build, and modernize cloud native data and machine learning platforms using AWS, Azure, Google Cloud, or multicloud tools like Fivetran, dbt, Snowflake, and Databricks. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-UniGreatBookPricesUK
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Occasion - Comme neuf
EUR 51,75
EUR 17,53 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : 1 disponible(s)
Etat : As New. Unread book in perfect condition.
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Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-UniTHE SAINT BOOKSTORE
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 52,82
EUR 18,71 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : Plus de 20 disponibles
Paperback / softback. Etat : New. New copy - Usually dispatched within 4 working days.
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Vendeur : Majestic Books, Hounslow, Royaume-UniMajestic Books
Contacter le vendeurVendeur avec une évaluation de 4 étoilesEtat: Neuf
EUR 69,80
EUR 7,60 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : 3 disponible(s)
Etat : New.
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Vendeur : Revaluation Books, Exeter, Royaume-UniRevaluation Books
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 65,49
EUR 14,61 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : 2 disponible(s)
Paperback. Etat : Brand New. 300 pages. 9.19x7.00x0.75 inches. In Stock.
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Vendeur : Books Puddle, New York, NY, Etats-UnisBooks Puddle
Contacter le vendeurVendeur avec une évaluation de 4 étoilesEtat: Neuf
EUR 86,08
EUR 3,42 expéditionExpédition nationale : Etats-UnisQuantité disponible : 3 disponible(s)
Etat : New.
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Vendeur : Rarewaves USA United, HEBRON, KY, Etats-UnisRarewaves USA United
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 52,79
EUR 42,83 expéditionExpédition nationale : Etats-UnisQuantité disponible : Plus de 20 disponibles
Paperback. Etat : New. All cloud architects need to know how to build data platforms-the key to enabling businesses with data and delivering enterprise-wide intelligence in a fast and efficient way. This handbook is ideal for learning how to design, build, and modernize cloud native data and machine learning platforms using AWS,… Azure, Google Cloud, or multicloud tools like Fivetran, dbt, Snowflake, and Databricks.Authors Marco Tranquillin, Valliappa Lakshmanan, and Firat Tekiner cover the entire data lifecycle in a cloud environment, from ingestion to activation, using real-world enterprise architectures. You'll learn how to transform and modernize familiar solutions, like data warehouses and data lakes, and you'll be able to leverage recent AI/ML patterns to get accurate and quicker insights to drive competitive advantage.This book shows you how to:Design a modern cloud native or hybrid data analytics and machine learning platformAccelerate data-led innovation by consolidating enterprise data in a data platformDemocratize access to enterprise data and allow business teams to extract insights and build AI/ML capabilitiesEnable your business to make decisions in real time using streaming pipelinesMove from a descriptive analytics approach to a more predictive and prescriptive one by building an MLOps platformMake your organization more effective in working with data analytics and machine learning in a cloud environment.
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Vendeur : AussieBookSeller, Truganina, VIC, AustralieAussieBookSeller
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 88,10
EUR 31,69 expéditionExpédition depuis Australie vers Etats-UnisQuantité disponible : 1 disponible(s)
Paperback. Etat : new. Paperback. All cloud architects need to know how to build data platforms--the key to enabling businesses with data and delivering enterprise-wide intelligence in a fast and efficient way. This handbook is ideal for learning how to design, build, and modernize cloud native data and machine learning platform…s using AWS, Azure, Google Cloud, or multicloud tools like Fivetran, dbt, Snowflake, and Databricks. Authors Marco Tranquillin, Valliappa Lakshmanan, and Firat Tekiner cover the entire data lifecycle in a cloud environment, from ingestion to activation, using real-world enterprise architectures. You'll learn how to transform and modernize familiar solutions, like data warehouses and data lakes, and you'll be able to leverage recent AI/ML patterns to get accurate and quicker insights to drive competitive advantage. This book shows you how to: Design a modern cloud native or hybrid data analytics and machine learning platform Accelerate data-led innovation by consolidating enterprise data in a data platform Democratize access to enterprise data and allow business teams to extract insights and build AI/ML capabilities Enable your business to make decisions in real time using streaming pipelines Move from a descriptive analytics approach to a more predictive and prescriptive one by building an MLOps platform Make your organization more effective in working with data analytics and machine learning in a cloud environment About the AuthorsMarco is leading a Principal Architect and Customer Engineering team at Google Cloud who helps Italian financial and insurance firms to adopt and leverage cloud data technologies to solve business problems. In the past he led the European Data Analytics practice within Google Cloud and has more than 10 years of experience working in complex IT cloud projects for many global firms.Lak works with management and data teams across a range of industries to help them employ data and AI-driven innovation to grow their businesses and increase value. Prior to this, Lak was the Director for Data Analytics and AI Solutions on Google Cloud and a Research Scientist at NOAA. He is a co-author of Data Science on the Google Cloud Platform, BigQuery: The Definitive Guide, and Machine Learning Design Patterns, all published by O'Reilly.Firat is an adjunct professor at the University of Manchester and a Senior Product Manager in Google Cloud. Firat has over 20 years of experience in designing and delivering bespoke information systems for some of the world's largest research, education, telecommunications, finance and retail organizations. Following roles within National Supercomputing Services and National Centre for Text Mining, he has over 30 publications in the areas of Parallel Computing, Big Data, Artificial Intelligence and Computer Communications. This handbook is ideal for learning how to design, build, and modernize cloud native data and machine learning platforms using AWS, Azure, Google Cloud, or multicloud tools like Fivetran, dbt, Snowflake, and Databricks. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
- Couverture souple
Vendeur : Rarewaves.com UK, London, Royaume-UniRarewaves.com UK
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 54,35
EUR 75,98 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : Plus de 20 disponibles
Paperback. Etat : New. All cloud architects need to know how to build data platforms-the key to enabling businesses with data and delivering enterprise-wide intelligence in a fast and efficient way. This handbook is ideal for learning how to design, build, and modernize cloud native data and machine learning platforms using AWS,… Azure, Google Cloud, or multicloud tools like Fivetran, dbt, Snowflake, and Databricks.Authors Marco Tranquillin, Valliappa Lakshmanan, and Firat Tekiner cover the entire data lifecycle in a cloud environment, from ingestion to activation, using real-world enterprise architectures. You'll learn how to transform and modernize familiar solutions, like data warehouses and data lakes, and you'll be able to leverage recent AI/ML patterns to get accurate and quicker insights to drive competitive advantage.This book shows you how to:Design a modern cloud native or hybrid data analytics and machine learning platformAccelerate data-led innovation by consolidating enterprise data in a data platformDemocratize access to enterprise data and allow business teams to extract insights and build AI/ML capabilitiesEnable your business to make decisions in real time using streaming pipelinesMove from a descriptive analytics approach to a more predictive and prescriptive one by building an MLOps platformMake your organization more effective in working with data analytics and machine learning in a cloud environment.
ARCHITECTING DATA AND MACHINE LEARNING PLATFORMS: ENABLE ANALYTICS AND AI-DRIVEN INNOVATION IN THE C
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Vendeur : Libros Feroces, castellgali, B, EspagneLibros Feroces
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Occasion
EUR 98,04
EUR 50,00 expéditionExpédition depuis Espagne vers Etats-UnisQuantité disponible : 1 disponible(s)
Etat : Usado.
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- impression à la demande
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-UniTHE SAINT BOOKSTORE
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 57,64
EUR 18,71 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : Plus de 20 disponibles
Paperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
