Snowflake Training

• The fundamentals of data warehousing
• How to deal with data and analytics?
• You will get a real-time experience of using AWS S3 Storage and Azure Blob Storage
• You will get a practical understanding of data loading and unloading
• What are snowflake objects, cloning, un-drop, fail-safe, and analytics solutions?
• You will get all the key skills that are required to clear the Snowflake Certification examination
• You will be able to work on two useful real-time projects

• 24 Hrs. Instructor-led Online Training
• Recorded Videos After Training
• Digital Learning Material
• Course Completion Certificate
• Lifetime e-Learning Access
• 24x7 After Training Support

• IT Geeks
• Data Professionals
• Cloud Computing Apprentices
• Business Intelligence Enthusiast
• Loan Officers, Insurance Agents) who need to work on Salesforce Financial Services Cloud

• The aspirants of Snowflake Training should have a basic knowledge of DATA Warehouse and Cloud Computing. However, basic computer and IT knowledge are going to help you in learning the modules.

• PR Tech Skills will provide you with a training completion certificate after completing the Inventory Management in Snowflake Training.

Module 1: Introduction to Snowflake

• How different from traditional DB like (Oracle) 
• Quick start to Snowflake and accessing trial account 
• Creating warehouse, DB, Schema, and tables 
• Accessing different roles and using it
• Working with worksheets 
• Understanding different types of accounts

Module 2: Understand Cloud Platforms

• AWS and understanding S3 storage 
• Snowflake architecture and caching
• AZURE and understanding blob storage
• GCP and understanding Bucket storage

Module 3: Data Loading and Unloading in Snowflake Cloud Platform

• File formats
• Internal and external storage Copy into usage
• Snowflake internal storage
• Accessing Cloud storage data into Snowflake (GCP, AZURE and AWS) 
• Data unloading

Module 4: Snowpipe

• Accessing Snowpipe PUT and GET commands
• Bulk loading from cloud storage Continuous loading

Module 5: Partner Connect with Snowflake

• Snowflake Connector and use cases Python 
• BI connectors use cases
• Other connectors hands-on

Module 6: Handling JSON and Semi structure data in Snowflake Cloud Data Platform

• Variant Datatype 
• File format options 
• Creating stages
• Loading JSON semi-structured data into SF tables 
• Accessing JSON with select statement

Module 7: Scheduling with Snowflake

• Creating Tasks Streams
• Accessing procedures with tasks
• Scheduling as per time with Different time zones 
• Automate loading process Daily and Weekly

Module 8: Secure Data Sharing

• Usage of sharing data
• Sharing data with different accounts
• Sharing data with non-SF accounts using reader accounts Importance of reader accounts
• Privileges in data sharing
• Challenges with cross-region sharing and understanding replication Connecting shared objects with BI tools like POWER BI
• Limitations with Data sharing

Module 9: Cloning in Snowflake

• Access Control Privileges for Cloned Objects Cloning and Snowflake Objects
• Impact of DDL on Cloning
• Impact of DML and Data Retention on Cloning

Module 10: Time travel & Failsafe in Snowflake

• Introduction to Time Travel Querying Historical Data
• Enabling and Disabling Time Travel Data Retention Period
• Cloning Using Time Travel (Databases, Schemas, and Tables Only)

Module 11: Clustering and Performance techniques

• Creating multi clusters of large tables 
• Performance techniques