Snowflake and its features (Presentation)

Snowflake and its features (Presentation)

• 1.
  Snowflake and its Features PresenterName
• 2.
  Lack of etiquetteand manners is a huge turn off. KnolX Etiquettes  Punctuality Join the session 5 minutes prior to the session start time. We start on time and conclude on time!  Feedback Make sure to submit a constructive feedback for all sessions as it is very helpful for the presenter.  Silent Mode Keep your mobile devices in silent mode, feel free to move out of session in case you need to attend an urgent call.  Avoid Disturbance Avoid unwanted chit chat during the session.
• 3.
  1. 1. UnderstandingSnowflake 2. 2. Exploring Key Features 3. Q/A
• 5.
  Introduction to Snowflake 0102 03 Cloud-Native Architecture Decoupling of Storage and Compute Elasticity and Auto-Scaling
• 6.
  Architecture Overview Hybrid Architecture Snowflake'sarchitecture combines elements of traditional shared-disk and shared-nothing database architectures, offering the best of both worlds for efficient data processing. Workload Separation and Concurrency The platform's unique design enables workload isolation and efficient concurrency, ensuring consistent performance even under heavy workloads. Security and Data Protection Snowflake incorporates robust security measures to encrypt data at rest and in transit, providing comprehensive data protection and access control.
• 8.
  Access Control andIP Allow Lists Data Governance and Compliance End-to-End Encryption  Snowflake's built-in features encrypt all data at rest and in transit, providing comprehensive security and compliance with data protection regulations.  The platform enables granular access control and IP allow lists, empowering organizations to regulate access levels and secure their data assets.  Snowflake's robust governance features ensure data integrity, regulatory compliance, and proactive alerting for potential issues. Security and Governance
• 9.
  Scalability and Performance Elasticityand Auto-Scaling One of Snowflake's key features is its elasticity, allowing resources to automatically scale based on workload demands, optimizing performance and cost efficiency.  Automatic Query Optimization Snowflake's intelligent query optimization enhances performance by automatically optimizing queries, ensuring efficient data processing and analytics.  Concurrent Workload Management The platform efficiently manages concurrent workloads, ensuring consistent performance and resource utilization across diverse data processing tasks.
• 10.
  SQL Support andInterfaces  SQL Support and Interfaces One of Snowflake's key features is its elasticity, allowing resources to automatically scale based on workload demands, optimizing performance and cost efficiency.  Tools and Interfaces Snowflake's intelligent query optimization enhances performance by automatically optimizing queries, ensuring efficient data processing and analytics.  Concurrent Workload Management The platform efficiently manages concurrent workloads, ensuring consistent performance and resource utilization across diverse data processing tasks.