| Abstract: | Snowflake is a cloud-based data platform designed to handle and analyze large volumes of data efficiently and effectively. It provides a fully-managed and scalable infrastructure, making it easy to store, manage, and process data in a cost-effective manner. Snowflake supports various data types, including structured, semi-structured, and unstructured data for a wide range of use cases. The course covers topics to advance your knowledge and skills with Snowflake. We will explore continuous data loading with Snowpipe, enabling real-time data ingestion from Azure. We will set up stages, storage integrations, notifications, and queues for efficient and continuous data loading. The course also delves into continuous data protection, ensuring data reliability through features such as time travel, data restoration, and undropping objects. We will gain insights into different table types, Snowflake editions, pricing, and usage monitoring. The course introduces Zero-Copy Cloning, facilitating the creation of table copies for streamlined data management. We will understand roles and user management, providing a comprehensive view of access control in Snowflake. By the end of the course, we will have a solid grasp of Snowflake's sophisticated capabilities, empowering us to manage and analyze data effectively in a cloud-based environment. What You Will Learn Set up Snowpipe for real-time data loading from Azure Implement advanced data protection techniques, time travel, data restoration Utilize Zero-Copy Cloning for efficient data replication and management Manage access control with various Snowflake roles effectively Safeguard data with continuous data protection features Optimize data workflows/analysis using Snowflake's advanced capabilities Audience This course is designed for individuals with prior experience in Snowflake who want to take their skills to the next level. It is ideal for data analysts, engineers, BI professionals, data scientists, DBAs, and IT professionals who want to optimize data workflows, leverage advanced features, and gain insights into access control in a cloud-based environment. A basic understanding of Snowflake, SQL querying, and cloud computing concepts is necessary. Some exposure to data integration and management will be beneficial. 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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