The Fixity Snowflake training course is designed to teach the participants all the necessary skills to effectively work with Snowflake, a powerful cloud-based data platform. The training covers key topics such as Snowflake architecture, data loading, querying, performance optimization, and security. Participants will gain hands-on experience using tools like Snowflake Web Interface, SnowSQL, Snowflake Connector for Python, and Snowflake Data Marketplace. This training equips learners with the knowledge and practical skills needed to leverage Snowflake’s capabilities for efficient data storage, processing, and analytics in their organizations.
In this Snowflake fundamentals training module, trainees will learn how the Snowflake database is different from other conventional databases like Oracle, MS SQL and how to work with the Snowflake platform. Along with this, our industry experts will teach you how to create warehouses, schema, how to access different roles, and how to work with worksheets, and understand different kinds of accounts.
Learning outcomes: By the end of this module, you will know the importance of snowflake, and you will get a real-time experience of working with the snowflake platform
In this Snowflake virtual classroom training module, you will learn how to do bulk loading into Snowflake through AWS S3, Azure Blob Storage, and GCP Bucket storage. Along with this, you will study Snowflake Architecture and caching in the Snowflake data warehouse.
Learning Outcomes: At the end of this module, you will get a real-time experience of using AWS S3 Storage, Azure Blob Storage, and GCP Bucket Storage in the Snowflake Data warehouse platform. You will also acquire an in-depth understanding of Snowflake Architecture and Caching.
This Snowflake Online training module will provide you with a detailed look at Data loading/Unloading file formats, storing the data internally and externally, and using the COPY INTO command. You will also learn how to access Snowflake internal and cloud storage and how to carry out data unloading.
Learning Outcomes: Upon completing this module, you will gain a practical understanding of Data Loading and Unloading. Also, you will know how to access Snowflake’s internal storage and cloud storage.
In this module you’ll learn detailed overview of Snowpipe, Continuous loading, Bulk loading, and Commands like PUT, GET.
Learning Outcomes: By the end of this module, you will be able to work with Snowpipe and perform continuous loading and bulk loading in it.
In this module, you will learn the use cases of Snowflake python connector and BI Connectors. Also, you will be familiar with other Snowflake connectors.
Learning Outcomes: At the end of this module, you will get a real-time experience of the Snowflake python connector and other Snowflake connectors.
This module deals with Snowflake scheduling concepts like creating tasks, streams, and accessing procedures with the tasks. Also, you will learn how to schedule the tasks and how to automate the loading process regularly.
Learning Outcomes: By the end of this module, you will acquire practical knowledge of creating the tasks and streams, scheduling the tasks, and automating the loading process.
In this Snowflake database training module discusses the importance of data sharing in the Snowflake cloud platform, how to share data with Snowflake and Non-Snowflake accounts. It also deals with data sharing privileges, connecting shared objects with BI tools, challenges, and data sharing limitations.
Learning Outcomes: At the end of this module, you will be able to share the data in different ways, and you will be familiar with the security measures required for sharing the data.
The Cloning in Snowflake module provides you with a detailed look at how to control the accessing of cloned objects and what is the impact of DDL, DML, and Data Retention on Cloning.
Learning Outcomes: By the end of this module, you will get extensive knowledge of accessing the cloned objects, cloning snowflake objects, pipes, streams, and tasks. Along with this, you will also achieve practical knowledge of how DDL, DML, and Data retention impact cloning.
In this module, you will learn how to retrieve historical data, enable or disable time travel. You will also study the data retention period and cloning through time travel.
Learning Outcomes: At the end of this module, you will acquire a real-time experience of using time travel for querying historical data and performing cloning.
This module discusses topics like creating multi clusters on large tables and performance techniques in Snowflake database.
Learning Outcomes: At the end of this module, you will be able to create multi clusters and use performance techniques to improve the performance of the Snowflake data warehouse.
Fixity EDX offers advanced Snowflake interview questions and answers along with Snowflake resume samples. Take a free sample practice test before appearing in the certification to improve your chances of scoring high.
Yes, Snowflake is designed to handle large volumes of data efficiently. It leverages a distributed architecture and cloud computing resources to scale storage and compute capabilities based on the needs of the workload.
Yes, Snowflake supports real-time analytics by allowing the ingestion of streaming data and providing near-instantaneous query results. It enables organizations to analyze and derive insights from data as it is generated, facilitating real-time decision-making.
Snowflake offers a range of key features that make it a powerful and flexible data management and analytics platform. These features include cloud-based data warehousing, unlimited scalability, support for structured and semi-structured data, built-in security and data protection, real-time data ingestion, and seamless integration with popular analytics and BI tools.
Yes, Snowflake provides seamless integration with various data tools and platforms, including popular analytics and BI tools, data lakes, ETL/ELT tools, and programming languages. This enables organizations to leverage their existing ecosystem and workflows