Nice explanation…. I really appreciate… Please upload more
@KSRDatavizon7 ай бұрын
Thank you for your kind words! I'm glad you found the explanation helpful. Please subscribe our channel for regular updates and its motivates us a lot
@SravaniReddy-f6b7 ай бұрын
hi, do freshers have job openings in snowflake??
@KSRDatavizon4 ай бұрын
yes, but will have less opensings
@MaheshNaidu-j3x4 ай бұрын
Mention you'r mail id or number to discuss about snowflake fresher job
@SravaniReddy-f6b7 ай бұрын
I am preparing for project trainee position in snowflake they are expecting me to be aware of snowpark to can you tell me, which topics i shoud cover in snowpark as a project trainee
@KSRDatavizon4 ай бұрын
Snowpark Topics for a Project Trainee As a project trainee in Snowflake, having a solid understanding of Snowpark can be a significant advantage. Here are some key topics you should focus on: Core Concepts Snowflake's Architecture: Understand the fundamental components of Snowflake's architecture, including warehouses, databases, schemas, and tables. Snowpark's Purpose: Grasp the concept of Snowpark as a platform for executing Python and Scala code directly within Snowflake. Snowpark Sessions: Learn how to create and manage Snowpark sessions, which provide the execution environment for your code. Python or Scala Basics Language Fundamentals: Ensure you have a strong foundation in either Python or Scala, depending on your preference. Data Structures and Control Flow: Understand how to work with data structures like lists, dictionaries, and tuples, as well as control flow statements (if-else, loops). Functions and Modules: Be familiar with defining and using functions and modules to organize your code. Snowpark-Specific Topics Snowpark Context: Learn how to create a Snowpark context, which provides access to Snowflake resources. Querying Snowflake Data: Understand how to execute SQL queries using Snowpark and retrieve results. Data Manipulation: Learn how to manipulate data using Snowpark's DataFrame API, including filtering, grouping, aggregating, and joining data. UDFs (User-Defined Functions): Understand how to create and use UDFs to extend Snowflake's functionality with custom logic. Snowpark Streaming: If applicable to your project, learn about Snowpark's streaming capabilities for processing real-time data. Snowflake Integration: Understand how to integrate Snowpark with other Snowflake features like stored procedures, tasks, and external tables. Best Practices Performance Optimization: Learn techniques for optimizing Snowpark code, such as using vectorized operations and avoiding unnecessary data transfers. Error Handling: Understand how to handle errors and exceptions gracefully in your Snowpark code. Security and Access Control: Learn about Snowflake's security features and how to implement appropriate access controls for your Snowpark applications. By covering these topics, you'll be well-prepared to contribute effectively as a project trainee in Snowflake. Remember to practice and experiment with Snowpark to solidify your understanding and gain hands-on experience.
@SravaniReddy-f6b4 ай бұрын
@@KSRDatavizon thank you for the reply!
@SravaniReddy-f6b7 ай бұрын
sir, ways to authenticate in snowflake can you please create a vedio on this
@KSRDatavizon4 ай бұрын
sure sir, will make some sessions on the same. Thank You Please subscribe our channel for regular updates
@MaheshNaidu-j3x5 ай бұрын
For nth highest sale or nth highest salaries...better to use always an analytical function...
@KSRDatavizon4 ай бұрын
Yes, analytical functions are generally a more efficient and flexible approach for finding the nth highest value in a dataset.
@SravaniReddy-f6b7 ай бұрын
can i expect more vedios about Snowflake interview questions ?
@KSRDatavizon7 ай бұрын
Absolutely! I'll be creating more videos on Snowflake interview questions soon. Please subscribe our channel for regular updates and its motivates us a lot