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    Snowflake Decoded - Fundamentals And Hands On Training

    Posted By: ELK1nG
    Snowflake Decoded - Fundamentals And Hands On Training

    Snowflake Decoded - Fundamentals And Hands On Training
    Last updated 1/2021
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 1.24 GB | Duration: 4h 21m

    Master the Fundamental Snowflake concepts & acquire the necessary skills to start implementing Snowflake based solutions

    What you'll learn
    Snowflake Essentials, it's unique architecture & its differentiation
    Scalability through the virtual warehouse compute clusters
    Staging & Ingesting bulk & streaming data from cloud storage
    Unique features such as zero copy clones, time travel
    Snowflake value proposition through its pricing model
    Secure data sharing with snowflake & non-snowflake users
    Requirements
    Familiarity with database & data warehousing concepts
    Familiarity with SQL
    Description
    This course is not affiliated with Snowflake (the company).This course provides Snowflake concepts & hands on expertise to help get you started on implementing solutions using Snowflake. This course reinforces the learning through hands on labs, assignments & quizzes.At a high level we will go through the following topics Introduction -  A bit of history about snowflake & its differentiation. Getting Started with Snowflake - Sign up for a snowflake trial, setup the required tools and will create & load our first table into SnowflakeArchitecture - A look into the snowflake concepts, how the snowflake decoupled architecture differs from the traditional database architectures. We will explore how Snowflake virtual warehouses allow scaling up and down of compute as per demand.Getting data into Snowflake - We will explore the ingestion or loading methods available in Snowflake i.e. bulk copy & snowpipe. We will stage the data in an S3 bucket and load into Snowflake table using both bulk copy and snowpipe. We will also explore ways to load semi structured data like JSON into Snowflake.Time Travel & Zero Copy Clones - Time travel & cloning is a very powerful feature unique to Snowflake. We will explore how time travel can help you recover data before a query was run or before a specific time. Combine time travel with cloning and you can create new tables which contain data back in time, and all that without incurring additional storage cost.Secure Data Sharing - Snowflake based solutions can easily share data with other Snowflake users as well as non Snowflake users. We will explore ways on how to share your data and also how the sharing reuses existing storage.

    Overview

    Section 1: Introduction

    Lecture 1 Introduction

    Lecture 2 The Snowflake Story

    Section 2: Getting Started with Snowflake

    Lecture 3 Signup for Snowflake

    Lecture 4 Downloading Resources for this course

    Lecture 5 What to do if you encounter low video quality in a lecture?

    Lecture 6 Creating our first Database & Table

    Lecture 7 Load Data into our first table

    Lecture 8 Snowflake Pricing Overview

    Lecture 9 Setting up Required Snowflake tools

    Section 3: Snowflake Concepts

    Lecture 10 Optional: What is a data warehouse?

    Lecture 11 Optional: Why cloud computing?

    Lecture 12 Snowflake Architecture

    Lecture 13 Virtual Warehouse & Scalability

    Lecture 14 Snowflake Pricing

    Section 4: Getting data into Snowflake

    Lecture 15 Ingestion / Loading Methods

    Lecture 16 4 Steps to Managing Loads

    Lecture 17 Preparing your data

    Lecture 18 Staging your data

    Lecture 19 Loading from an S3 stage

    Lecture 20 Loading JSON data - high level steps

    Lecture 21 Loading JSON data - hands on lab

    Lecture 22 What is Snowpipe?

    Lecture 23 Loading data via Snowpipe - high level steps

    Lecture 24 Loading data via Snowpipe - hands on lab

    Section 5: Performance Optimisation

    Lecture 25 Performance Optimisation in Snowflake

    Lecture 26 Using Dedicated Virtual Warehouses

    Lecture 27 Lab: Using Dedicated Virtual Warehouses

    Lecture 28 Scale up/down the virtual warehouse

    Lecture 29 Multi-cluster virtual warehouse or Scaling Out

    Lecture 30 Lab: Multi-cluster virtual warehouse

    Lecture 31 Maximise Cache usage

    Lecture 32 Lab: Query Caching in Action

    Lecture 33 Clustering large tables & improve partition elimination

    Lecture 34 Lab: Cluster keys for large tables

    Section 6: Time Travel, Failsafe & Zero Copy Clones

    Lecture 35 Back to the future with Snowflake

    Lecture 36 Travel to a specific time or before a query

    Lecture 37 Undrop databases, schema & tables

    Lecture 38 Failsafe in Snowflake

    Lecture 39 Lab: View storage used by Fail-safe

    Lecture 40 Zero Copy Clone

    Lecture 41 Cloning with Time Travel

    Section 7: Secure Data Sharing

    Lecture 42 Secure Data Sharing in Snowflake

    Lecture 43 Sharing with other Snowflake users

    Lecture 44 Sharing - who's compute is used?

    Lecture 45 Sharing - Data always up-todate

    Lecture 46 What is a Share?

    Lecture 47 Sharing with non Snowflake Users

    Lecture 48 Lab: Sharing with non Snowflake Users

    Lecture 49 Lab: Sharing entire schemas & databases

    Lecture 50 Lab: Sharing views

    Lecture 51 Using the Web UI to share

    Section 8: Snowflake Access Management

    Lecture 52 Snowflake Approach to Access Control & Key Concepts

    Lecture 53 Out of the Box Snowflake Roles

    Lecture 54 Role Hierarchy in Snowflake

    Lecture 55 ACCOUNTADMIN role

    Lecture 56 Outline of the IAM hands on lectures

    Lecture 57 Lab: Demonstrating ACCOUNTADMIN role

    Lecture 58 SECURITYADMIN role

    Lecture 59 Lab: Demonstrating SECURITYADMIN role

    Lecture 60 SYSADMIN role

    Lecture 61 Lab: Demonstrating SYSADMIN role

    Lecture 62 Lab: Demonstrating use of the Custom Roles

    Lecture 63 Custom roles

    Lecture 64 PUBLIC role

    Section 9: Conclusion & Mega Quiz

    Lecture 65 Conclusion

    Snowflake beginner to intermediate skills.,Basic knowledge of databases & data warehousing