Snowflake Training in Hyderabad Snowflake Training - Enroll Now.pptx
- 1. Snowflake 101 Master Modern Data Analytics Unlocking the Power of Cloud Data Platforms
- 2. Introduction to Snowflake What is Snowflake? A cloud-native data platform designed for modern data analytics. Snowflake Training in Hyderabad Fully managed SaaS (Software-as-a-Service) solution. Separates storage, compute, and services for enhanced flexibility.
- 3. Why Choose Snowflake for Data Analytics? Ease of Use: No hardware or software to manage. Multi-cloud Support: Works seamlessly on AWS, Azure, and Google Cloud. Data Sharing: Enables secure and efficient data collaboration.
- 4. Key Features of Snowflake Data Warehousing: Fully managed, high- performance data warehousing. Data Lakes: Supports structured and semi- structured data (JSON, Avro, Parquet). Time Travel: Access historical data at any point in time. Zero-Copy Cloning: Create instant copies of data without storage duplication.
- 5. Snowflake Architecture Three Layers: Storage Layer: Centralized data storage. Compute Layer: Virtual warehouses for processing. Cloud Services Layer: Manages metadata, security, and optimization. Decoupled Design: Enables independent scaling and cost efficiency.
- 6. The Snowflake Data Cloud Enables data collaboration across organizations. Supports data marketplaces for third-party data access.
- 7. Snowflake Use Cases Data Warehousing: Centralized analytics for large datasets. Data Engineering: ETL/ELT pipelines for data transformation. Data Science: Advanced analytics and machine learning. Data Applications: Build and deploy data-driven applications. Visuals: Icons or images representing each use case.
- 8. Snowflake vs Traditional Data Warehouses Traditional: Fixed storage and compute, limited scalability. Snowflake: Elastic scaling, pay-as-you-go pricing, no maintenance. Advantages: Faster performance, lower costs, and easier management.
- 9. How to Get Started with Snowflake Sign up for a Snowflake account. Choose your cloud provider (AWS, Azure, Google Cloud). Set up virtual warehouses for compute. Load and query data using SQL. Explore advanced features like data sharing and cloning.
- 10. Snowflake Pricing Model Separate Costs: Storage and compute billed independently. Flexible Plans: On-demand or pre-purchased capacity.
- 11. Snowflake Ecosystem Integrations: Connects with BI tools (Tableau, Power BI), ETL tools (Fivetran, Talend), and programming languages (Python, R). Partners: Collaborations with AWS, Azure, Google Cloud, and more. Marketplace: Access to third-party datasets and applications. Visuals: Ecosystem diagram or partner logos.
- 12. Real-World Success Stories Case studies of companies leveraging Snowflake for data analytics. Examples: Retail: Optimizing supply chain and customer analytics.
- 13. The Future of Snowflake Continued innovation in data analytics and AI/ML integration. Expansion of the Data Cloud ecosystem. Enhanced data governance and security features.
- 14. Tips for Mastering Snowflake Learn SQL for querying and data manipulation. Leverage Snowflake’s documentation and community resources. Experiment with virtual warehouses and optimization techniques.
- 15. Conclusion Recap of Snowflake’s key benefits and features. Invitation for questions and discussion. Snowflake Training Contact information or resources for further learning.
- 16. For More Information About Snowflake Training Institute in Hyderabad Address: Flat no: 205, 2nd Floor, NILGIRI Block, Aditya Enclave, Ameerpet, Hyderabad- 16 Mobile No: +91-9989971070 Visit: www.visualpath.in E-Mail Id : [email protected]