Snowflake Online Training [Naresh IT]

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Dur: 45 days
Course fee : 18000 /-

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SnowFlake

Course Overview

Naresh IT's Snowflake Online Training is a rigorous module that offers individual sound training in this modern cloud-based data platform, Snowflake. Because of unique architecture and feature of Snowflake, this course endows learners with the ability to perform large-scale data analysis, manage data warehouses, and perform all data operations very efficiently. Snowflake training module includes hands-on projects and real-world application of the concepts with a practical basis on Snowflake's functionality and capabilities.

Why select Snowflake Online Training by Naresh IT?

Expert Trainers: Our trainers are professionals in the industry and have extensive knowledge regarding Snowflake and data warehousing. The comprehensive curriculum addresses every detail of Snowflake from basic to high-end attributes.
Hands-on learning: Learn through working on real-world data scenarios and case studies.
Flexible Learning Options: Training sessions are accessible from any location through our online platform.
Certification of Completion: Receive a certificate to showcase your Snowflake skills and boost your resume.

Description

Snowflake is transforming the worlds of data warehousing as such, delivers high-performance data warehousing in a scalable and secure cloud-based platform. Our comprehensive course, Snowflake Online Training, covers all aspects from basic data warehousing to advanced topics of the Snowflake environment such as data sharing, multi-cluster management and performance optimization. Taught by industry experts, this course is ideal for data engineers, data analysts and IT professionals who want to unlock the full capabilities of Snowflake.
The online training by Naresh IT will definitely embed real-world experience in the participant's mind with interactive sessions, hands-on labs, and project-based learning. By the end of this Snowflake training, learners will be well-equipped and proficient in managing data operations, optimizing performance, and effectively using the unique features of Snowflake for most applications involving data.

Course Objectives

Our principal objectives for undertaking Snowflake Online Training are as follows.

Gain a solid understanding of Snowflake’s cloud data platform architecture.
Learn to design and manage data warehouses in Snowflake.
Develop skills in data loading, transformation, and querying over Snowflake.
Unique to Snowflake: Master data sharing and security features.
Understand scaling and performance optimization techniques of Snowflake.
Work on real world projects involving data integration and data warehousing in Snowflake.

Prerequisites

To get the most out of Snowflake Online Training participants should bring:
- Basic familiarity with SQL and data warehousing concepts.
- Experience with cloud platforms is a plus, but not a must: cloud providers like AWS, Azure or Google Cloud.
- An enthusiasm to learn about modern data platforms and engineering practices on data.

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Course Curriculum

What is Cloud?
Different Cloud Vendors
Advantages of Cloud over Traditional Databases

What is a Data Warehouse?
Database Vs Data Warehouse
Why do we need Data Warehouse?
OLTP Vs OLAP
What is ETL?

Supported Cloud Platforms
Snowflake Architecture
Cloud Service Layer
Compute or Query processing Layer
Storage Layer
Snowflake Editions
Setting up virtual warehouses

User Interface - snow sight
SnowSQL (CLI Client)
Using python

Introduction to Time Travel
Configure Retention time property
Query historical results
Clone historical objects
Restore the dropped objects

Introduction to Fail safe
Check fail safe storages consumption
Fail safe storage charges

Different table types
Permanent tables & databases
Transient tables & databases
Temporary tables & databases

Partitioning in Traditional Data Warehouses
Partitioning in Traditional Data Warehouses
Advantages of Micro-Partitioning
Structure of Micro-Partition
Query Processing in Snowflake

File formats supported in Snowflake
Creating file formats
Types of data loading
Limited data
Bulk data
Continuous data
Limited data loading/unloading using Web Interface
Bulk data loading/unloading from/to local file
Bulk data loading/unloading from/to Amazon S3
Bulk data loading from Microsoft Azure
Bulk data loading from Google cloud

Creating stage & raw file
Parsing JSON
Handling nested data
Dealing with hierarchy
Insert final data

What is a stage? Types of stages

Table stages
User Stage

Named Stage
Creating stages
Data Loading/Unloading into/from stages
Querying Data in Staged Files
External stages

AWS registration
Bucket creation
IAM policies
Accessing bucket through outside
Integrating AWS S3 to snowflake
Loading files from S3 but to snowflake

Introduction to Snowpipe
Load CSV data from S3 using Snowpipe
Load JSON data from S3 using Snowpipe
Snowpipe

Introduction to Data Sharing
Data Providers
Data Consumers
INBOUND and OUTBOUND Shares

Introduction to Tasks
Task tree
Implement standalone task
Check task history

Introduction to streams
Insert operation in streams
Delete operation in streams
Update operation in streams

Introduction to Zero Copy Cloning
Clone Database, Pipes, Streams, Tasks & Stages
Clone Schema and Tables
DML changes in cloned table
Cloning using Time Travel
Swap the Tables

Downloading and installing SnowSQL
Creating database, tables in SnowSQL
Loading and unload data using
SnowSQL

System Usage & Billing
Understanding Snowflake Credit and Storage Usage

System defined User roles
Custom roles
Creating Users
Creating Custom Roles
Granting roles to users
Data Encryption in Snowflake
Data Encryption at customer side

What are Snowflake Credits?
Server less Features cost
Storage Cost
Check storage cost for different regions
Virtual Warehouses – Compute Cost
Cloud Services Cost
Data Transfer Cost
Check consumed CREDITS on your
Account

Cache introduction
Types of Cache in Snowflake

Views in Snowflake
Secure views in Snowflake
Views vs. Secure Views
Understand and creating materialized views
Refresh materialized views
When to use materialized views

Understanding data masking
Creating a masking policy
Recreate and Unset Masking Policy
Apply Masking policies on objects
Alter Masking Policies

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Who can learn this course

Data engineers who wish to expand their skills with cloud-based data platforms.
Data Analysts who wish to undertake higher studies in large dataset handling and analysis.
Database Administrators (DBAs) who want to work with Snowflake's unique architecture and improve their career opportunities.
IT professionals interested in the latest advancements in cloud technologies and data warehouse practices.
Students and graduates looking forward to working as part of a team in establishing a data engineering or data analytics career specializing in cloud platforms.