Marco tranquillin (24 Ergebnisse)
- Softcover
Anbieter: World of Books (was SecondSale), Montgomery, IL, USAWorld of Books (was SecondSale)
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- Softcover
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paperback. Zustand: 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.
- Softcover
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Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
- Softcover
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- Softcover
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- Softcover
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Paperback or Softback. Zustand: New. Architecting Data and Machine Learning Platforms: Enable Analytics and Ai-Driven Innovation in the Cloud. Book.
- Softcover
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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
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EUR 45,00
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Zustand: As New. Unread book in perfect condition.
- Softcover
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- Softcover
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EUR 50,47
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Paperback. Zustand: 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 AW…S, 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.
- Softcover
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes KönigreichRarewaves.com USA
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EUR 58,14
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Paperback. Zustand: 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 AW…S, 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.
- Softcover
Anbieter: Brook Bookstore On Demand, Napoli, NA, ItalienBrook Bookstore On Demand
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EUR 47,44
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Zustand: new.
- Softcover
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes KönigreichGreatBookPricesUK
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EUR 43,17
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Zustand: New.
- Softcover
Anbieter: Grand Eagle Retail, Bensenville, IL, USAGrand Eagle Retail
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EUR 67,87
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Paperback. Zustand: 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 platfo…rms 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.
- Softcover
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes KönigreichGreatBookPricesUK
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EUR 51,75
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Zustand: As New. Unread book in perfect condition.
- Softcover
Anbieter: THE SAINT BOOKSTORE, Southport, Vereinigtes KönigreichTHE SAINT BOOKSTORE
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EUR 52,82
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Paperback / softback. Zustand: New. New copy - Usually dispatched within 4 working days.
- Softcover
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EUR 69,80
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Zustand: New.
- Softcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
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EUR 65,52
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Paperback. Zustand: Brand New. 300 pages. 9.19x7.00x0.75 inches. In Stock.
- Softcover
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EUR 86,08
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Zustand: New.
- Softcover
Anbieter: Rarewaves USA United, HEBRON, KY, USARarewaves USA United
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EUR 52,79
EUR 42,83 VersandVersand innerhalb von USAAnzahl: Mehr als 20 verfügbar
Paperback. Zustand: 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 AW…S, 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.
- Softcover
Anbieter: AussieBookSeller, Truganina, VIC, AustralienAussieBookSeller
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EUR 88,10
EUR 31,69 VersandVersand von Australien nach USAAnzahl: 1 verfügbar
Paperback. Zustand: 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 platfo…rms 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.
- Softcover
Anbieter: Rarewaves.com UK, London, Vereinigtes KönigreichRarewaves.com UK
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EUR 54,35
EUR 75,98 VersandVersand von Vereinigtes Königreich nach USAAnzahl: Mehr als 20 verfügbar
Paperback. Zustand: 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 AW…S, 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
- Softcover
Anbieter: Libros Feroces, castellgali, B, SpanienLibros Feroces
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EUR 98,04
EUR 50,00 VersandVersand von Spanien nach USAAnzahl: 1 verfügbar
Zustand: Usado.
- Softcover
- Print-on-Demand
Anbieter: THE SAINT BOOKSTORE, Southport, Vereinigtes KönigreichTHE SAINT BOOKSTORE
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EUR 57,64
EUR 18,71 VersandVersand von Vereinigtes Königreich nach USAAnzahl: Mehr als 20 verfügbar
Paperback / softback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
