Snowflake Training

Great opportunity to master the fundamentals of data warehousing capabilities. Multisoft Systems, a 19-year-old training company, has come up with practical hands-on training on Snowflake. Snowflake Inc. is a cloud computing-based data warehousing company that was founded in 2012. It has introduced the Snowflake software which is ideal to be used in data storage, data processing, and analytic solutions. This software solution is easier to use and quicker in giving results.

Snowflake Training imparts the knowledge of Snowflake un-drop, Snowflake cloning, Snowflake objects, Snowflake fail-safe, and Snowflake analytics solutions. It will show you the path to the data cloud platform that acts as Software-as-a-service (SaaS) and permits data processing, data storage, and logical solution. In its successful completion, you get all the key skills that are required to clear the Snowflake Certification examination. Our offered course will also help you in working on two useful real-time projects at the same time.

Snowflake is a cloud data platform, which gives a lot of carrier opportunities nowadays and also in near future. The person who wants to shine their carrier as a developer can go for the snowflake and flourish their carrier in this sector. A Snowflake developer needs to have a bachelor’s degree in Computer Science, Business Administration, or a related field. An aspirant of this course must have a strong background in data warehousing concepts, ETL development, data modeling, metadata management, and data quality. He/she should design and implement effective analytics solutions and models with Snowflake.

Snowflake Course Objectives:

• 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

Snowflake Online Training

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

Target audience

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

Snowflake Course Prerequisites

• 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.

Snowflake Course Certification

• Multisoft Systems 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