Snowflake Course Overview
Snowflake is referred to as a cloud based data warehousing system which helps in delivering advanced solutions to the functionalities like storing, handling and data analysis. It is completely different from the other offerings and includes some of the special characteristics like versatility, high speed, etc. Through Snowflake, one can also customize and create the ready to query tables with less costs or zero administration costs.
HKR trainings is offering the best Snowflake online training to provide their esteemed guidance and support through the advanced level of training from the expert trainers. Moreover, the candidate will learn all the concepts from beginner level to a professional level which includes building the snowflake applications, debugging, managing and maintaining the applications, gain understanding on the user interfaces, learning and implementing the processes on real-time projects. This ultimately will help in enhancing the candidate skill set. This is the right time to learn and enhance the career opportunities through the Snowflake certification training. Snowflake Course Content
The expert professionals at HKR trainings designed the Snowflake training curriculum and divided it into two sections, namely Snowflake administrator and Snowflake developer. You can find the complete information in the module below mentioned module.
Now let's start exploring each module in a more detailed way. Module1: Snowflake architecture
Snowflake Overview Exploring the Snowflake Architecture How to use the Snowflake UI & ecosystem
Module2: Cloud overview
Introduction to cloud Different cloud vendors Advantages of cloud over on premises
Module3: Data warehousing
What is data warehousing Why data warehousing? Data Warehouse architecture OLTP vs OLAP ETL overview
Module4: 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
Module5: Understanding the cloud platforms
AWS and understanding S3 storage Snowflake architecture and caching AZURE and understanding blob storage GCP and understanding Bucket storage
Module6: data loading and unloading
File formats Internal and external storage Copy into usage snowflake internal storage Accessing Cloud storage data into Snowflake (GCP, AZURE and AWS) Data unloading
Module7: Snowpipe
Accessing Snowpipe PUT and GET commands Bulk loading from cloud storage Continuous loading
Module8: Partner connect with snowflake
Snowflake Connector and use cases Python BI connectors use cases Other connectors hands-on
Module9: HAndling JSOn and semi structured data
Variant Data Type File format options Creating stages Loading JSON semi-structured data into SF tables Accessing JSON with select statement
Module10: 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 11: 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
Module12: Cloning
Access Control Privileges for Cloned Objects Cloning and Snowflake Objects Impact of DDL on Cloning Impact of DML and Data Retention on Cloning
Module13: Time travel and failsafe
Introduction to Time Travel Querying Historical Data Enabling and Disabling Time Travel Data Retention Period Cloning Using Time Travel
Module14: query caching 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
Module15: Advanced topics
Error Handling and Validations Snowflake Pricing model 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
Module 16: Practice test and interview questions
At HKR trainings, we provide practice tests at the end of the course , community question and answers, also Snowflake interview question and answers , Snowflake tutorial and Sample Resumes to crack the interview. Practice Mock Interview Sessions and Technical Job Support We at HKR trainings provide the learners with practice Mock Interview Sessions and excellent Job Support at the end of the course.