Snowflake

Mastering Snowflake: From Data Warehousing to Advanced Cloud Data Solutions

What you'll learn

Snowflake Architecture & Cloud Concepts

Data Warehousing and Storage Setup

SQL Querying & Data Transformation

Data Loading & Integration Methods

Security & Access Control in Snowflake

Resource Monitoring & Cost Management

Snowflake Pricing Model & Cost Optimization

Industry Best Practices & Real-World Applications

Requirements

Basic SQL Knowledge: Familiarity with SQL querying and data manipulation.

Understanding of Cloud Computing: Basic knowledge of cloud platforms and data storage concepts.

Familiarity with Data Warehousing Concepts: An understanding of data warehousing and data management principles.

Hands-on Experience with Databases: Experience working with databases, whether on-premise or cloud-based.

Description

This comprehensive course is designed to provide both beginners and experienced professionals with an in-depth understanding of Snowflake, a leading cloud data platform. The course begins with an introduction to cloud computing concepts, followed by an exploration of Snowflake’s architecture and key features. You’ll learn how to leverage Snowflake for data warehousing, manage storage, and utilize its powerful scaling capabilities to handle large datasets efficiently.Through hands-on sessions, you will gain practical experience with core Snowflake features such as querying, data loading, and data transformation. You will explore the different types of data storage available in Snowflake, including S3, stages, and file formats. Additionally, you will dive into Snowflake’s security features, best practices for managing roles, and how to set up and monitor resource usage.The course also covers more advanced topics such as Snowflake’s integration with other cloud services, Snowflake’s pricing model, and the efficient management of costs. You’ll also learn how to monitor and manage data processes using Snowflake’s tools and features to ensure optimal performance.By the end of this course, you will be well-equipped to implement Snowflake in real-world projects, optimize data workflows, and leverage Snowflake’s advanced features for analytics and business intelligence applications. This course is ideal for data engineers, analysts, and anyone looking to work with cloud data platforms in a professional environment.

Overview

Section 1: Introduction

Lecture 1 Sign up for free trial

Lecture 2 Login to account

Lecture 3 Explore Snowflake UI interface

Lecture 4 Snowflake Architecture

Lecture 5 Setting up warehouse

Lecture 6 Setting up warehouse using sql

Lecture 7 Manage warehouse

Lecture 8 Scaling policy

Lecture 9 Exploring tables and databases

Lecture 10 Loading data in snowflake

Section 2: Snowflake architecture

Lecture 11 What is DataWarehouse

Lecture 12 Cloud computing

Lecture 13 Snowflake editions

Lecture 14 Snowflake pricing

Lecture 15 Data storage and transfer cost

Lecture 16 Monitor usage

Lecture 17 Resource monitors

Lecture 18 Setting up resource monitors

Lecture 19 Roles in snowflake

Section 3: Loading data into snowflake

Lecture 20 Loading methods

Lecture 21 Understanding stages

Lecture 22 Create stage

Lecture 23 Copy command

Lecture 24 Transforming data

Lecture 25 Additional Transformation techniques

Lecture 26 Copy option: ON_ERROR

Lecture 27 File format object

Section 4: Copy options

Lecture 28 Understanding copy options

Lecture 29 validation_mode

Lecture 30 Working with rejected records

Lecture 31 size_limit

Lecture 32 return_failed_only

Lecture 33 Truncatecolumns

Lecture 34 Force

Section 5: Loading unstructured data

Lecture 35 Hight level steps

Lecture 36 Understanding our data

Lecture 37 Creating stage & raw file

Lecture 38 Parsing JSON

Lecture 39 Handling nested data

Lecture 40 Flatten hierarchical data

Lecture 41 Insert final data

Lecture 42 Querying and Loading PARQUET data

Section 6: Loading From AWS

Lecture 43 Craete account in AWS

Lecture 44 Create s3 bucket

Lecture 45 Upload files in S3

Lecture 46 Creating policy

Lecture 47 Creating integration object

Lecture 48 Loading from S3

Lecture 49 Handel JSON

Section 7: Loading From Azure

Lecture 50 Sign up for free trial

Lecture 51 Create a storage account

Lecture 52 Create a container

Lecture 53 Create integration object

Lecture 54 Craete stage and test connection

Lecture 55 Load csv file

Lecture 56 Load json file

Section 8: Loading from gcp

Lecture 57 Sign up for free trial

Lecture 58 Craete a bucket

Lecture 59 Create integration object

Lecture 60 Create stage

Lecture 61 Query and load data

Data Engineers: Professionals looking to deepen their skills in cloud data warehousing and management using Snowflake.,Data Analysts: Analysts who want to learn how to store, query, and transform large datasets in the cloud.,Cloud Architects: Those interested in designing and managing cloud-based data solutions using Snowflake.,Database Administrators: DBAs seeking to expand their expertise into cloud-based database management and architecture.,Software Engineers: Developers looking to integrate Snowflake into applications for data processing and analytics.,Business Intelligence Professionals: BI professionals who want to leverage Snowflake for data analysis and reporting.,Students & Beginners in Cloud Data Solutions: Anyone with a basic understanding of databases and SQL who wants to start working with Snowflake in a cloud environment.,IT Professionals: Individuals aiming to learn modern data platforms and enhance their cloud data management skillset.