Snowflake Course Curriculum

Snowflake training concepts, labs, projects, use-cases, and more have been designed & developed carefully by our Dataware house professionals to create a hurdle-free path for your next job. Below listed are the modules that you are going to come across in this Snowflake online Training.

A data warehouse software is defined as a data management system and acts as a centralized repository to retrieve & store data from multiple sources and supports analytics. Organizations majorly use data warehouse platforms to retrieve large amounts of historical and current data from multiple data sources and conduct analysis on the sourced data.

Concepts:

  • Data warehouse basics
  • History of data warehouse
  • Limitations of traditional warehouse
  • Cloud advantages over on-prem

Snowflake is a cloud-based data storage and analytics service offered as a warehouse-as-a-service. It allows the business to store and analyze any volumes of data using cloud-based software and runs on top of cloud providers like AWS, Aure, and GCP.

Concepts:

  • What is Snowflake
  • Snowflake Editions
  • The process to create a free trial account
  • Overview of Snowflake key features

Snowflake comes with multi-cluster shared data architecture that supports high performance, high concurrency, high scalability, and high elasticity. It consists of three key layers which are inline database storage, query processing, and cloud services.

Concepts:

  • Snowflake CLI installation & configuration
  • Types of roles in Snowflake
  • Snowflake Architecture
  • Explore Databases
  • Schemas and Tables
  • Snowflake Virtual Warehouses

Snowflake comes with a powerful yet easy to use interface. Once you log into your snowflake account you will see 6 main pages which are Database Page, Warehouse Page, Worksheet Page, History Page, Help Menu, and User Menu. You can perform all the data warehouse operations using these pages.

Concepts:

  • Snowflake web interface
  • Date & time
  • Virtual Warehouses
  • Tables & Views
  • Handling structured and semi-structured data
  • Lab & Exercise

DDL is abbreviated as a data definition language (DDL) and Snowflake supports various DDL commands to create & modify objects in snowflake. Moreover, DDL commands are also useful for configuring parameters, initiating transactions, and initializing variables.

Concepts:

  • The process to create Databases & tables
  • Data deletion & updation
  • Insert & select statements
  • Altering Tables

A data warehouse software is defined as a data management system and acts as a centralized repository to retrieve & store data from multiple sources and supports analytics. Organizations majorly use data warehouse platforms to retrieve large amounts of historical and current data from multiple data sources and conduct analysis on the sourced data.

Concepts:

  • Data warehouse basics
  • History of data warehouse
  • Limitations of traditional warehouse
  • Cloud advantages over on-prem

Snowflake is a cloud-based data storage and analytics service offered as a warehouse-as-a-service. It allows the business to store and analyze any volumes of data using cloud-based software and runs on top of cloud providers like AWS, Aure, and GCP.

Concepts:

  • What is Snowflake
  • Snowflake Editions
  • The process to create a free trial account
  • Overview of Snowflake key features

Snowflake comes with multi-cluster shared data architecture that supports high performance, high concurrency, high scalability, and high elasticity. It consists of three key layers which are inline database storage, query processing, and cloud services.

Concepts:

  • Snowflake CLI installation & configuration
  • Types of roles in Snowflake
  • Snowflake Architecture
  • Explore Databases
  • Schemas and Tables
  • Snowflake Virtual Warehouses

Snowflake comes with a powerful yet easy to use interface. Once you log into your snowflake account you will see 6 main pages which are Database Page, Warehouse Page, Worksheet Page, History Page, Help Menu, and User Menu. You can perform all the data warehouse operations using these pages.

Concepts:

  • Snowflake web interface
  • Date & time
  • Virtual Warehouses
  • Tables & Views
  • Handling structured and semi-structured data
  • Lab & Exercise

DDL is abbreviated as a data definition language (DDL) and Snowflake supports various DDL commands to create & modify objects in snowflake. Moreover, DDL commands are also useful for configuring parameters, initiating transactions, and initializing variables.

Concepts:

  • The process to create Databases & tables
  • Data deletion & updation
  • Insert & select statements
  • Altering Tables

A cache is a storage space designed to store data so that future requests for the same data can be delivered faster. Snowflake comes with a cache component to store data cache, and result cache to enhance SQL query performance. In Snowflake the cache files are stored at three levels such as Result cache, Local disk cache, and Remote disk.

Concepts:

  • Introduction to Snowflake Caching
  • Cache types in Snowflake
  • Caching demo with examples
  • Lab Exercises

Micro-partitioning is a process where data is divided into small blocks. In Snowflake the data in tables automatically divide into micro-partitions. Snowflake micro-partitioning enhances DML operations, improves individual column scanning, and prevents skews, purn large tables, etc.

Concepts:

  • Overview of Micro - partitioning
  • The architecture of Micro - partitioning
  • Benefits of Micro - partitioning
  • Query processing in Snowflake
  • Lab - exercises

Clustering is a method for identifying similar groups of data in a dataset and dividing them into small clusters. Snowflake comes with auto clustering features and enhances query performance.

Concepts:

  • Introduction to Snowflake Clustering
  • Clustering process
  • Advantages of clustering
  • Clustering performance tuning

AWS S3 (Simple Storage Service) is an object storage type offered by Amazon. It allows all types of industries to virtually store their data and use it for multiple business use cases. AWS S3 is easy to scale, secured, and offers high performance. Snowflake uses AWS S3 as an external stage to get the required data and store it in a table format.

Concepts:

  • AWS Overview
  • AWS account creation
  • S3 bucket creation
  • AWS Policy & Role
  • AWS Snowflake integration
  • Data loading into AWS S3 using AWS CLI

Snowflake stores all the data in database tables. A typical table contains columns and rows and comes with advanced features to retrieve and manage data stored in Snowflake tables. Snowflake offers three different types of tables to meet certain requirements which include Transient, Temporary, & Permanent tables.

Concepts:

  • Permanent Table
  • Temporary table
  • Transient table
  • Transient database

In Snowflake we can perform bulk and continuous data loading operations using Snowpipe from two different stages which include external stages ( Cloud storage) and Internal stages (Snowflake Account). Data exporting or unloading is similar to Data loading in Snowflake.

Concepts:

  • Introduction to Data migration
  • Overview of Data loading
  • Overview of Data un-loading
  • Considerations for data loading
  • Considerations for data unloading
  • Bulk data loading/ unloading to/from S3
  • Bulk data loading/ unloading to/from Local file system
  • Bulk data loading/ unloading to/from Azure
  • Consistent data loading using Snowpipe
  • Data loading through a web interface
  • Querying data from Staged files
  • Querying Metadata for Staged files
  • Troubleshooting issues with bulk data loading
  • Data transform during a load
  • Real-time scenarios to show you data loading & unloading

In order to load data into Snowflake, the files must be in a staged location. The staged location may be an internal or external stage.

Concepts:

  • Data validation prior to loading to a table
  • Collecting rejected records
  • Purge option
  • Force Copy option
  • Lab- preparing and loading data

Snowflake Time-travel is an advanced feature that enables users to access past data that had been accidentally lost or intentionally deleted. It also helps users to back up important data from the past and supports analytical functions.

Concepts:

  • Time Travel
  • Fundamental of Snowflake Fail-safe
  • Fail-safe & retention period

Data Pipeline automates the manual tasks involved in transforming continuous data loads. Snowflake data pipelines are powerful and handle huge and complex data without impacting any other workload performance.

Concepts:

  • Continuous stream
  • Data integration Stream
  • Tasks and Snowpipe
  • Lab

Snowflake offers a secure data-sharing option between one or more snowflake accounts. The person who shares data is called the data provider and the person who receives data is called the data consumer. One can easily create a share and add shareable objects to it and grant permissions to consumers.

Concepts:

  • Overview of Data sharing in Snowflake
  • Data Consumers
  • Data providers
  • Secure objects to control data access

A Snowflake task is defined as a scheduler and helps you schedule an SQL query or stored procedure. CRON and NON-CRON are the two options available in the Snowflake Tasks engine.

Concepts:

  • Snowflake task dependency
  • Introduction to tasks
  • Dependency demo

Snowflake is a cost-effective platform and charges you based on your usage. If the usage is higher, then the billing will be higher and vice-versa. Snowflake mainly charges for data storage (in bytes), virtual warehouses (compute), and for cloud services.  Snowflake offers three different editions and the charges change based on the edition that you use.

Concepts:

  • Storage and credit management
  • User Management
  • Resource monitors

A Stored procedure is a written SQL code, and the same code can be saved and used for similar future cases. You can use the stored procedure to execute similar cases a number of times without writing fresh code. You can also build programmatic constructs in stored procedures to perform branching and looping.

Concepts:

  • Introduction to Stored procedures
  • Branching in Snowflake
  • Looping Snowflake
  • Error Handling

User-defined functions (UDFs) are customized functions that extend the system capabilities and allow the users to perform advanced operations. User-defined functions are mainly used for performing the operations that are not supported by Snowflake's in-built system.

Concepts:

  • Snowflake Javascript UDF’s
  • SQL based UDF
  • Error handling
  • Table Functions

Concepts:

  • Snowflake as DaaS
  • Roles and Privileges
  • Security Features
  • Comparison between Snowflake vs Redshift vs Big query
  • Snowflake Certification
  • Data Migration Project
  • Data transformation project

Concepts:

  • Informatica Fundamentals
  • Snowflake mock interviews
  • Resume Preparation
  • Snowflake Interview questions

Looking for a detailed curriculum? Enquire now!

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LIVE SESSIONS


  • Real-time Trainers
  • Live interactive Sessions
  • Cloud Labs

CORPORATE TRAINING


  • Customized Training Solutions
  • Blended Delivery Model
  • Project Implementation Support

SELF-PACED LEARNING


  • High-Quality Videos
  • Access to Materials
  • Permanent Access

Snowflake Online Training Objectives

Once you finish this online Snowflake training you will be able to:

  • Understand the traditional data warehouses & the challenges associated with them
  • Gain a complete understanding of cloud data warehouse platforms
  • Install & Configure Snowflake CLI
  • Understand Snowflake architecture
  • Build data warehouse solutions on Snowflake
  • Able to design & build databases, tables, and Schemas
  • Work with Virtual warehouses
  • Scale virtual warehouses when required
  • Data loading & data transformation on Snowflake
  • Handle structured & semi-structured data
  • Execute DDL & DML operations
  • Handle Query constraints
  • Work data migration projects
  • Work with Data streaming projects

This online Snowflake training course has been designed in a way to impart the learners with end-to-end cloud data warehouse skills. Upon the completion of this Snowflake course, you will be in a position to plan, design, and build cloud data warehouse solutions in your organization.  

During this online Snowflake training you will gain expertise in essential areas like Snowflake architecture, loading data, scaling virtual warehouses, data sharing, Cloning, working with structured and semi-structured data, data transformation, python scripts, and managing Snowflake accounts, querying DDL & DML commands, and much more.

Anyone who wishes to start their career in the data engineering segment can start learning Snowflake. This course is best suitable for professionals like ETL developers, database professionals, Cloud computing professionals, data analysts, freshers, etc.

The only pre-requisite to joining this Snowflake training online is to have a basic understanding of SQL fundamentals such as creating tables, altering tables, additions, deletions, modifications, DML & DDL commands, etc. Having knowledge of data warehouses would be an added advantage.

Snowflake has gained huge popularity in a short span of time because of its unique capabilities. Snowflake auto-scaling, cost-effectiveness, and speed are the considerable features for its enormous adoption rate. The ability to separate computing from storage has made it popular across industries.

The importance of data has been growing over the years and by learning Snowflake you will be entering into the data engineering segment. The Snowflake learning curve is very simple and helps you find limitless opportunities. Our real-time Snowflake training course will give you a great head start to starting your career as a Snowflake developer.

Snowflake Certification

To validate candidates' expertise, Snowflake has introduced a wide range of certifications for different levels. Following is the list of Snowflake certifications:

  • SnowPro Core Certification
  • SnowPro Advanced: Architect 
  • SnowPro Advanced: Data Engineer
  • SnowPro Advanced: Database Administrator
  • SnowPro Advanced: Data Analyst
  •  SnowPro Advanced: Data Scientist 

If you are new to this Snowflake tool and aiming to get certified, the first certification you need to clear is the Snowpro core certification exam. 

The Snowflake SnowPro Core certification cost is $175 (per attempt).

Snowflake course content at Techsolidity has been curated by the Snowflake certified experts and designed in a way to cover all the essential areas of SnowPro core certification. By the end of this training, you will gain the required skills to clear your SnowPro certification exam.

Yes, once you finish your Snowflake training you will receive an electronic course completion certificate from Techsolidiy. You can share this certificate on social media platforms to showcase your skills to employers. The certificate issued by TechSolidty adds value to your resume and demonstrates you as a well-trained candidate.

techsolidity-certification

Snowflake Online Training Projects

To enhance our learners' ability in understanding the real-time working process of a data warehousing platform and to inject them with the knowledge & confidence required to work on their next DWH projects, we have included 2 live projects in this training.

Snowflake Course Reviews

Snowflake FAQ's

Yes, Techsolidty offers you two types of Discounts: one is group discount and the other is referral discount.

Yes, In order to provide you the financial flexibility, we provide you the chance to pay the course fee in two installments.

Due to any reasons, you would like to cancel your registration after paying the fee, you should intimate the same to us within the first two classes. The refund amount will be processed within 30 days from the requested date.

To meet the customer expectations we provide multiple types of training which include, Live instructor-led training, Self-paced training, blended training, classroom training, corporate training, etc.

Yes, at Techsolidity all the training courses consist of a minimum of two projects to offer the candidates real-time work understanding!