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    Data Modeling with Snowflake. A practical guide to accelerating Snowflake development using universal data modeling techniques

    (ebook) (audiobook) (audiobook) Język publikacji: angielski
    Data Modeling with Snowflake. A practical guide to accelerating Snowflake development using universal data modeling techniques Serge Gershkovich, Kent Graziano - okładka ebooka

    Data Modeling with Snowflake. A practical guide to accelerating Snowflake development using universal data modeling techniques Serge Gershkovich, Kent Graziano - okładka ebooka

    Data Modeling with Snowflake. A practical guide to accelerating Snowflake development using universal data modeling techniques Serge Gershkovich, Kent Graziano - okładka audiobooka MP3

    Data Modeling with Snowflake. A practical guide to accelerating Snowflake development using universal data modeling techniques Serge Gershkovich, Kent Graziano - okładka audiobooks CD

    Ocena:
    Bądź pierwszym, który oceni tę książkę
    Stron:
    324
    Dostępne formaty:
    PDF
    ePub

    Ebook

    129,00 zł

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    Do przechowalni

    The Snowflake Data Cloud is one of the fastest-growing platforms for data warehousing and application workloads. Snowflake's scalable, cloud-native architecture and expansive set of features and objects enables you to deliver data solutions quicker than ever before.

    Yet, we must ensure that these solutions are developed using recommended design patterns and accompanied by documentation that’s easily accessible to everyone in the organization.

    This book will help you get familiar with simple and practical data modeling frameworks that accelerate agile design and evolve with the project from concept to code. These universal principles have helped guide database design for decades, and this book pairs them with unique Snowflake-native objects and examples like never before – giving you a two-for-one crash course in theory as well as direct application.

    By the end of this Snowflake book, you’ll have learned how to leverage Snowflake’s innovative features, such as time travel, zero-copy cloning, and change-data-capture, to create cost-effective, efficient designs through time-tested modeling principles that are easily digestible when coupled with real-world examples.

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    O autorze ebooka

    Serge Gershkovich is a seasoned data architect with decades of experience designing and maintaining enterprise-scale data warehouse platforms and reporting solutions. He is a leading subject matter expert, speaker, content creator, and Snowflake Data Superhero. Serge earned a bachelor of science degree in information systems from the State University of New York (SUNY) Stony Brook. Throughout his career, Serge has worked in model-driven development from SAP BW/HANA to dashboard design to cost-effective cloud analytics with Snowflake. He currently serves as product success lead at SqlDBM, an online database modeling tool.

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