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Snowflake Cloud Data Platform: Getting Started

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Warner Chaves

2:43:19

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  • 01 - Course Overview.mp4
    01:20
  • 02 - What Is Snowflake.mp4
    03:43
  • 03 - Snowflake Ecosystem.mp4
    02:10
  • 04 - Demo - Sign up for the Free Trial.mp4
    04:30
  • 05 - Service Billing Model.mp4
    06:57
  • 06 - Snowflake Editions.mp4
    07:06
  • 07 - Demo - Tour of the Web Portal.mp4
    08:47
  • 08 - Module Summary.mp4
    01:03
  • 09 - Snowflake Architecture.mp4
    03:01
  • 10 - Virtual Warehouse.mp4
    04:58
  • 11 - Demo - Databases and Virtual Warehouses in the Web Portal.mp4
    06:11
  • 12 - Database Objects.mp4
    08:28
  • 13 - Demo - Tables, Views and Functions in the Web Portal.mp4
    08:16
  • 14 - Demo - Installing SnowSQL.mp4
    06:00
  • 15 - Demo - Using SnowSQL.mp4
    09:33
  • 16 - Module Summary.mp4
    00:47
  • 17 - File Formats.mp4
    02:35
  • 18 - Import Tools.mp4
    00:52
  • 19 - Demo - Import with the Web Portal.mp4
    04:40
  • 20 - Data Stages.mp4
    02:18
  • 21 - Demo - Import with the COPY Command.mp4
    14:08
  • 22 - Demo - Import with Snowpipe.mp4
    09:42
  • 23 - Export Tools.mp4
    01:27
  • 24 - Demo - Export with the COPY Command.mp4
    02:31
  • 25 - Module Summary.mp4
    00:50
  • 26 - Security Model.mp4
    04:10
  • 27 - Demo - Creating a Custom Role.mp4
    06:45
  • 28 - Demo - Querying with Snowsight.mp4
    16:52
  • 29 - Demo - Connecting with Power BI.mp4
    03:05
  • 30 - Demo - Monitoring Your Account.mp4
    09:31
  • 31 - Module Summary.mp4
    01:03
  • Description


    Snowflake is the only fully managed petabyte scale data platform solution compatible with AWS, Google Cloud and Azure. This course covers what you need to understand Snowflake’s value proposition and to begin your journey adopting this data platform.

    What You'll Learn?


      The power of cloud storage and compute power has made data warehousing and big data possible for businesses of all sizes.

      In this course, Snowflake Cloud Data Platform: Getting Started, you'll gain the ability to provide massive scale, near-zero maintenance and one single source of truth.

      First, you will learn Snowflake’s value proposition and service model.
      Next, you will design your first schema and load data into it using the different product tools.
      Finally, you will execute queries, track their execution and monitor your warehouse performance.

      When you’re finished with this course, you will have the skills and knowledge necessary to start your Snowflake cloud data platform journey.

    More details


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    Warner Chaves
    Warner Chaves
    Instructor's Courses
    Warner is a SQL Server Certified Master, MVP, and Solutions Architect at Pythian, a global Canada-based company specializing in data and infrastructure services. A brief stint in .NET programming led to his early DBA formation, working for enterprise customers in Hewlett-Packard's ITO organization. From HP he transitioned to his current position at Pythian, managing multiple clients of different sizes and industries. He leads a highly-talented team of data professionals that keep things running smooth and innovate with all kinds of data solutions. When he's not working out of his office in Ottawa, Ontario, he can be found on the sandy beaches of his home country of Costa Rica.
    Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.
    • language english
    • Training sessions 31
    • duration 2:43:19
    • level preliminary
    • Release Date 2023/12/08

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