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    Snowflake

    Posted By: ELK1nG
    Snowflake

    Snowflake
    Published 1/2025
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English | Size: 2.22 GB | Duration: 4h 48m

    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.