Snowflake : an introduction course.
Snowflake is a cloud-based data warehousing platform. It separates storage and computing, enabling fast and scalable analytics. Its architecture, ease of use, and SQL support make it popular for data management, efficiently processing large volumes of data, and enabling data-driven insights. In this...
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| Format: | Electronic Video |
|---|---|
| Language: | English |
| Published: |
[Place of publication not identified] :
Packt Publishing,
[2023]
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| Edition: | [First edition]. |
| Subjects: | |
| Online Access: | CONNECT |
MARC
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| 520 | |a Snowflake is a cloud-based data warehousing platform. It separates storage and computing, enabling fast and scalable analytics. Its architecture, ease of use, and SQL support make it popular for data management, efficiently processing large volumes of data, and enabling data-driven insights. In this introductory Snowflake course, we will explore the key concepts and functionalities of the cloud-based data warehousing platform. We will learn the basics of Snowflake, including its architecture, warehouses, and data-loading techniques. The lessons cover free trial sign-up, interface navigation, setting up warehouses using SQL, and creating database objects. Hands-on readings and quizzes reinforce your understanding. We focus on data loading in Snowflake, delving into COPY INTO, stages, transformations, and file format objects. We will explore loading data from various sources and applying transformations during the loading process. By the end of the course, we will be equipped with a foundational knowledge of Snowflake, capable of navigating its interface, setting up warehouses, and efficiently loading and processing data. This course serves as an excellent starting point for anyone looking to harness the power of Snowflake for data warehousing and analytics. What You Will Learn Understand Snowflake's three-layer model for scalability Create, configure, and optimize data warehouse setup Explore data loading hands-on with COPY INTO and stages Learn best practices for organization/management of data objects Utilize concurrency to improve multi-cluster warehouse performance Master SQL commands for data-driven, cloud-based analytics Audience This course caters to data architects, data engineers, and database administrators seeking to expand their knowledge of modern data technologies and cloud-based solutions like Snowflake. Additionally, data analysts, business intelligence professionals, IT experts, and aspiring data enthusiasts who want to learn about the latest cloud technologies and work with data efficiently will find value in this course. Whether beginners or experienced individuals, this course welcomes anyone interested in mastering Snowflake and unleashing the potential of cloud-based data warehousing. About The Author Nikolai Schuler: Nikolai Schuler, as a data scientist and BI consultant, believes that the data world benefits from new tools and technologies, but it is extremely difficult to get trained in the field as practical courses with quality content are rare or are structured incompatible with a busy working life. Nikolai's courses offer precious content and have an easy-to-follow structure. He aims to help anyone wishing to pursue their desired career by upgrading their data analysis skills. His courses have already found their audience in over 170 countries with numerous positive feedback and will equip you with the skillsets to master data science and analytics! If you are looking for qualitatively approachable training, then jump on board!. | ||
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