Snowflake Cookbook : Techniques for building modern cloud data warehousing solutions

Snowflake is a unique cloud-based data warehousing platform built from scratch to perform data management on the cloud. This book introduces you to Snowflake's unique architecture, which places it at the forefront of cloud data warehouses.

You'll explore the compute model available with Snowflake, and find out how Snowflake allows extensive scaling through the virtual warehouses. You will then learn how to configure a virtual warehouse for optimizing cost and performance. Moving on, you'll get to grips with the data ecosystem and discover how Snowflake integrates with other technologies for staging and loading data.

As you progress through the chapters, you will leverage Snowflake's capabilities to process a series of SQL statements using tasks to build data pipelines and find out how you can create modern data solutions and pipelines designed to provide high performance and scalability. You will also get to grips with creating role hierarchies, adding custom roles, and setting default roles for users before covering advanced topics such as data sharing, cloning, and performance optimization.

By the end of this Snowflake book, you will be well-versed in Snowflake's architecture for building modern analytical solutions and understand best practices for solving commonly faced problems using practical recipes.

Commencez ce livre dès aujourd'hui pour 0 €

  • Accédez à tous les livres de l'app pendant la période d'essai
  • Sans engagement, annulez à tout moment
Essayer gratuitement
Plus de 52 000 personnes ont noté Nextory 5 étoiles sur l'App Store et Google Play.

D'autres ont également lu

Passer la liste
  1. Architecting AI Software Systems : Crafting robust and scalable AI systems for modern software development

    Richard D Avila, Imran Ahmad

  2. Generative AI on Google Cloud with LangChain : Design scalable generative AI solutions with Python, LangChain, and Vertex AI on Google Cloud

    Leonid Kuligin, Jorge Zaldívar, Maximilian Tschochohei

  3. Databricks Certified Data Engineer Associate Study Guide : In-Depth Guidance and Practice

    Derar Alhussein

  4. DataRobot : Practical Automation for Enterprise AI

    Richard Johnson

  5. Django in Production : Expert tips, strategies, and essential frameworks for writing scalable and maintainable code in Django

    Arghya Saha

  6. Google Machine Learning and Generative AI for Solutions Architects : ​Build efficient and scalable AI/ML solutions on Google Cloud

    Kieran Kavanagh

  7. Machine Learning and Generative AI for Marketing : Take your data-driven marketing strategies to the next level using Python

    Nicholas C. Burtch, Yoon Hyup Hwang

  8. A Handbook of Computational Linguistics: Artificial Intelligence in Natural Language Processing

  9. 5.0

    Databricks Certified Associate Developer for Apache Spark Using Python : The ultimate guide to getting certified in Apache Spark using practical examples with Python

    Saba Shah

  10. Building Data-Driven Applications with LlamaIndex : A practical guide to retrieval-augmented generation (RAG) to enhance LLM applications

    Andrei Gheorghiu

  11. Machine Learning Interviews : Kickstart Your Machine Learning and Data Career

    Susan Shu Chang

  12. Artificial Intelligence with Python : Your complete guide to building intelligent apps using Python 3.x, 2nd Edition

    Alberto Artasanchez, Prateek Joshi


Catégories associées