SNOWFLAKE ONLINE TRAINING
Why Choose Snowflake online training?
Snowflake online training in Ameerpet is dedicated to provide the best snowflake online training in Hyderabad to you. Our Snowflake Online training will be 100% practical and extremely helpful for you to get started with your own snowflake career. The Snowflake Online training will be delivered by the industry experts who are at the top of their respective games.
Our Snowflake online training will give you an in-depth understanding of everything related to the Snowflake. Whether you are a complete beginner or an advanced user, our Snowflake Masters are committed to provide you well-structured and easy to understand snowflake online training using powerful, state-of-the-art tools such as; Real Time, Hands On Simulation; Live Case Studies and much more at an affordable price. We will also provide you with full course support materials, session recordings and lifetime support. We will try to answer all your queries or doubts in the best way possible. You will also receive a certificate of course completion once you have successfully completed our Snowflake online training program. This certificate can be used for future reference to prove your qualification to potential employers or to enhance your resume.
Snowflake Online Training Course Content:
Snowflake Overview
Architecture
How to use the Snowflake UI & ecosystem
What is Cloud
Different Cloud Vendors
Advantages of Cloud over On-Premise
What is a Data Warehouse, and Why do we need a Data Warehouse?
Database Vs Data Warehouse.
Data Warehouse Architecture
OLTP Vs OLAP
What is ETL
How different from traditional DB
Quick start to the snowflake and accessing trial account
Creating warehouse, DB, Schema, and tables
Accessing different roles and using it
Working with worksheets
Understanding different type of accounts
AWS and understanding S3 storage
Snowflake architecture and caching
AZURE and understanding blob storage
GCP and understanding Bucket storage
File formats
Internal and external storage
Internal and external stage
Copy into usage
Snowflake internal storage
Accessing Cloud storage data into Snowflake (GCP, AZURE and AWS)
Data unloading
Accessing Snowpipe
PUT and GET commands
Bulk loading from cloud storage
Continuous loading
Snowflake Connector and use cases Python
BI connectors use cases
Other connectors hands-on
Variant Data Type
File format options
Creating stages
Loading JSON semi-structured data into SF tables
Accessing JSON with select statement
Creating Tasks
Streams
Accessing procedures with tasks
Scheduling as per time with Different time zones
Automate loading process Daily and Weekly
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
Limitations with Data sharing
Access Control Privileges for Cloned Objects
Cloning and Snowflake Objects
Impact of DDL on Cloning
Impact of DML and Data Retention on Cloning
Introduction to Time Travel
Querying Historical Data
Enabling and Disabling Time Travel
Data Retention Period
Cloning Using Time Travel (Databases, Schemas, and Tables Only)
Creating multi-users on large tables
Performance techniques
Result set cache
Metadata cache
Query data cache
Best practices of using caching for performance and cost optimization
Error Handling and Validations
Snowflake Pricing model and selecting best Edition and Calculation of Credits usage
Resource Monitoring
Data Masking
Partitioning and Clustering in snowflake
Materialized View and Normal View
Integration with Python
Integration with AWS, Azure and Google Cloud
Best Practices to follow