Snowflake Training: Unleash the Power of Cloud Data Warehousing
Welcome to Proximsoft’s user-friendly Snowflake Training, where we guide you through the details of building, overseeing, and navigating a cloud-based data warehouse. Immerse yourself in the world of Snowflake, where your proficiency in modern data management will flourish. Our industry-expert designed course effortlessly combines theoretical understanding with hands-on experience, empowering you to use Snowflake’s capabilities for exceptional performance and efficiency.
Embark on this educational journey crafted by seasoned professionals, designed to simplify the complexities of data warehousing. At Proximsoft, we ensure you not only comprehend the theoretical foundations but also gain practical expertise. Elevate your skills with our Snowflake Training and stay ahead in the dynamic landscape of cloud-based data management.
Why Learn Snowflake?
- Snowflake is a cloud-native data warehousing solution, and as more organizations shift their infrastructure to the cloud, the demand for cloud-based data warehousing skills, including Snowflake, is on the rise.
- Snowflake provides high concurrency, allowing multiple users to query the data warehouse simultaneously without performance degradation. This is essential for organizations with large teams working on data analytics and business intelligence.
- As the adoption of Snowflake increases, there is a growing demand for professionals with Snowflake skills. Learning Snowflake can enhance your job prospects and open up opportunities in data engineering, data analysis, and business intelligence roles.
- Snowflake continues to evolve, introducing new features and functionalities. Learning Snowflake means staying current with the latest innovations in cloud data warehousing, providing a competitive edge in the job market.
| Mode of Training | Online live Interactive sessions |
| Duration of the Training | 6 weeks |
| Training duration per day | 60 – 90 min session |
| Software Access | Software will be installed/server access will be provided, whichever is possible |
| Training Materials | Soft copy of the material will be provided during the training |
| Training fee | Depends on the Requirement |
| Resume Preparation | Yes, at the end of the course based on the JD |
| Interview Preparation | Yes, by sharing some FAQ’s |
| Mock calls | Yes, 2 Technical Mock calls |
| Internship Project | Yes |
| Certification | Yes, at the end of the training |
| JOB Assistance | Yes |
| JOB Support | Yes |
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| Weekdays | 6AM -2 PM EST & 6-11:30 PM EST (student can pick any 1 hr) |
| Weekends | 8 AM – 12 PM EST (student can pick any 2 hrs) |
Course Content
Snowflake Architecture and Overview
- Snowflake Overview
- Architecture
- How to use the Snowflake UI & ecosystem
Introduction to Cloud
- What is Cloud
- Different Cloud Vendors
- Advantages of Cloud over On-Premise
Introduction Data Warehousing Concepts
- What is a Data Warehouse and Why do we need Data Warehouse?
- Database Vs Data Warehouse
- Data Warehouse Architecture
- OLTP Vs OLAP
- What is ETL
Introduction to Snowflake
- 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
Understand Cloud platforms
- AWS and understanding S3 storage
- Snowflake architecture and caching
- AZURE and understanding blob storage
- GCP and understanding Bucket storage
Data Loading and Unloading
- 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
SnowPipe
- Accessing Snowpipe
- PUT and GET commands
- Bulk loading from cloud storage
- Continuous loading
Partner connect with snowflake
- Snowflake Connector and use cases Python
- BI connectors use cases
- Other connectors hands-on
Handling JSON and Semi structure data
- Variant Datatype
- File format options
- Creating stages
- Loading JSON semi-structured data into SF tables
- Accessing JSON with select statement
Scheduling with Snowflake
- Creating Tasks
- Streams
- Accessing procedures with tasks
- Scheduling as per time with Different time zones
- Automate loading process Daily and Weekly
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
- Limitations with Data sharing
Cloning
- Access Control Privileges for Cloned Objects
- Cloning and Snowflake Objects
- Impact of DDL on Cloning
- Impact of DML and Data Retention on Cloning
Time travel & Failsafe
- Introduction to Time Travel
- Querying Historical Data
- Enabling and Disabling Time Travel
- Data Retention Period
- Cloning Using Time Travel (Databases, Schemas, and Tables Only)
Query Caching, Clustering, and Performance techniques
- 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
Talk to Our Career Advisor
FAQ'S
Mastering Snowflake opens doors to lucrative opportunities, especially in data warehousing and cloud-based solutions.
Absolutely! The course emphasizes practical application, ensuring participants gain hands-on experience with Snowpipe and its commands.
While beneficial, it's not mandatory. Our course covers all aspects comprehensively, making it accessible for all learners.
Snowflake is cloud-agnostic, supporting popular cloud providers like AWS, Azure, and GCP. This flexibility allows users to choose their preferred cloud environment.
