kipi.ai Interview Questions, Process, and Tips

Snowflake has introduced new features and enhancements to improve performance and usability.

• Snowflake introduced Snowpark, a new feature that allows users to write custom code in Java or Scala for data processing tasks.

• They also added support for unstructured data types like JSON and Avro, making it easier to work with semi-structured data.

• Snowflake has improved security features with the introduction of external token...read more

Clustering in Snowflake is a feature that organizes data in a table based on one or more columns to improve query performance.

• Clustering keys determine the order in which data is stored in Snowflake, which can help reduce the amount of data scanned during queries.

• Clustering can be defined at the table level or at the partition level.

• Clustering can improve query performance by reducing the amount of data that needs to b...read more

Data in Snowflake is stored in a columnar format, using a combination of micro-partitions and clustering keys.

• Data is stored in micro-partitions, which are small, self-contained, and immutable units of storage.

• Clustering keys are used to organize data within micro-partitions based on common values, improving query performance.

• Snowflake uses a variant of columnar storage, storing data in columns rather than rows for eff...read more

Partition is a division or splitting of a physical or logical structure into separate parts.

• Partitioning helps in organizing data for better management and performance.

• In computer science, partitioning can refer to dividing a hard drive into separate sections for storing data.

• In database management, partitioning can involve splitting a large table into smaller, more manageable parts based on certain criteria.

• Partitioni...read more

Clustering in Snowflake is a feature that physically organizes data based on a specified column to improve query performance.

• Clustering helps reduce the amount of data that needs to be scanned during queries by grouping related data together on disk.

• It can improve query performance by minimizing the amount of data that needs to be read from storage.

• Clustering keys are defined when creating a table in Snowflake, and the...read more

Data modeling techniques include conceptual, logical, and physical modeling.

• Conceptual modeling focuses on high-level concepts and relationships

• Logical modeling translates conceptual model into specific data structures

• Physical modeling involves implementation details like tables and columns

Lazy loading is a technique used in software development to defer the loading of resources until they are actually needed.

• Lazy loading improves performance by only loading resources when necessary

• It is commonly used in web development to load images or data as the user scrolls down a page

• Lazy loading can also be used in programming languages to load classes or modules on-demand

Authentication is the process of verifying the identity of a user, while authorization determines what resources a user can access.

• Authentication is the process of verifying the identity of a user.

• Authorization determines what resources a user can access.

• In Node.js, authentication and authorization can be implemented using various libraries and techniques such as Passport.js, JSON Web Tokens (JWT), and role-based acces...read more