Master Snowflake 2024

Master Snowflake 2024, available at $19.99, has an average rating of 4.33, with 115 lectures, based on 9 reviews, and has 62 subscribers.

You will learn about Snowflake Core, SQL, API, Python, AI Apps Building AI Applications with Streamlit Course designed on Snowflake 2024 features and capabilities Database, schemas, tables, views, materialized views Load structures/unstructured data Load data from AWS , GOOGLE and AZURE cloud Data Streams, Snowpipe Snowflake Tasks Snowflake API for Python SQL – Beginner to Advanced Advanced Concepts such as Time Travel, Fail Safe, Caching, etc. Frequent Updates to the course Learn from Ex-Bloomberg 17+ years, Best Udemy Course Instructor WILL BE HELPFUL TO GO FOR CERTIFICATION This course is ideal for individuals who are To work on NEW Snowflake Cloud warehouse system and be stand out form the crowd or Data Architects, Data Engineers, Database Administrators who are looking to expand their knowledge or Architects who want to understand best practices followed while using snowflake database. It is particularly useful for To work on NEW Snowflake Cloud warehouse system and be stand out form the crowd or Data Architects, Data Engineers, Database Administrators who are looking to expand their knowledge or Architects who want to understand best practices followed while using snowflake database.

Enroll now: Master Snowflake 2024

Summary

Title: Master Snowflake 2024

Price: $19.99

Average Rating: 4.33

Number of Lectures: 115

Number of Published Lectures: 115

Number of Curriculum Items: 115

Number of Published Curriculum Objects: 115

Original Price: $64.99

Quality Status: approved

Status: Live

What You Will Learn

Snowflake Core, SQL, API, Python, AI Apps

Building AI Applications with Streamlit

Course designed on Snowflake 2024 features and capabilities

Database, schemas, tables, views, materialized views

Load structures/unstructured data

Load data from AWS , GOOGLE and AZURE cloud

Data Streams, Snowpipe

Snowflake Tasks

Snowflake API for Python

SQL – Beginner to Advanced

Advanced Concepts such as Time Travel, Fail Safe, Caching, etc.

Frequent Updates to the course

Learn from Ex-Bloomberg 17+ years, Best Udemy Course Instructor

WILL BE HELPFUL TO GO FOR CERTIFICATION

Who Should Attend

To work on NEW Snowflake Cloud warehouse system and be stand out form the crowd

Data Architects, Data Engineers, Database Administrators who are looking to expand their knowledge

Architects who want to understand best practices followed while using snowflake database.

Target Audiences

To work on NEW Snowflake Cloud warehouse system and be stand out form the crowd

Data Architects, Data Engineers, Database Administrators who are looking to expand their knowledge

Architects who want to understand best practices followed while using snowflake database.

Learn step-by-step everything that is practical and important in SNOWFLAKE 2024!

Learn from the BEST SELLING AUTHOR on Udemy on the PostgreSQL Database, with a 17+ YEARS OF EXPERIENCE working in BLOOMBERG!

What is in this course?

In this course, you will learn everything you need to master Snowflake!

? Work on lates 2024 Snowflake features and solutions. No old Snowflake course. Its 2024!

? Master all the fundamentals

?Master all the advanced topics

?Learn the best practices hands-on

?Learn the best practices hands-on

Snowflake training on LATEST 2024 features and solutions

– Snowflake Core concepts, Architecture

– Snowflake Advanced Concepts:

    – Snowsight UI

    – Data Loading from AWS, Google, Azure

    – Micro-Partitions

    – Data Clustering

    – Data Views

    – Data Sampling techniques

    – Tasks

    – Streams

    – Time Travel

    – Fail Safe

    – Zero-Copy Cloning

    – Data Sharing

    – Query History

    – Resource Monitors

    – Tasks

    – Snowpipe

    – Caching

    – Micro-Partitioning
– Programing with Snowflake

    – Snowflake APIs using Python

    – Snowpark Data transformation
– Snowflake SQL – Beginner to Expert Level

– Snowflake AI

    – Building AI Apps with Streamlit

Why should you take this course?

? Understand everything from scratch – step by step, very structured and practice-oriented

? Learn all the important features – know when and how to use them properly

? Practical hands-on explanations and very simple method – theory and hand-on practice

This is the one course that covers everything you need to Master Snowflake 2024.

Enroll now to get lifelong access and master Snowflake!

TAKE THIS COURSE WITH 30-DAY MONEY-BACK GUARANTEE

Course Curriculum

Chapter 1: Introduction

Lecture 1: What is Snowflake?

Lecture 2: Snowflake architecture

Lecture 3: Database Storage and compute

Lecture 4: Services Layer

Lecture 5: Setup a free trial

Lecture 6: Login to snowflake account

Chapter 2: *** SNOWFLAKE INFRASTRUCTURE ***

Lecture 1: Introduction

Chapter 3: Snowsight

Lecture 1: Snowsight – Snowflake web interface

Lecture 2: Getting Started with Worksheets

Lecture 3: Sort, filter, show stats of query results

Lecture 4: Visualizing data in worksheet

Lecture 5: Create your first warehouse

Lecture 6: Creating a warehouse via SQL

Lecture 7: Databases > Schemas > Tables

Chapter 4: Snowflake Hierarchy and Objects

Lecture 1: Snowflake Container System

Lecture 2: Database > Schema objects

Lecture 3: Creating Database > Schemas

Lecture 4: Create a table

Lecture 5: inserting data into table via INSERT

Lecture 6: Table with text data types

Lecture 7: Table with boolean values

Lecture 8: Table with timestamps

Lecture 9: Create table via SELECT

Lecture 10: Snowflake constraints handling

Chapter 5: **** DATA LOADING ****

Lecture 1: Introduction

Chapter 6: Data Loading

Lecture 1: Bulk/Continuous loading methods

Lecture 2: Internal/External stages

Chapter 7: Loading data from AWS

Lecture 1: Setup a free trial

Lecture 2: Create a S3 bucket

Lecture 3: Upload data to S3 bucket

Chapter 8: Loading data from Azure

Lecture 1: Creating a free trial

Lecture 2: Create a storage account

Lecture 3: Create storage containers

Lecture 4: Setup an integration object

Lecture 5: Configure a role assignment

Lecture 6: Create stage objects

Lecture 7: Load CSV file

Lecture 8: Load JSON file

Lecture 9: Load JSON data into variant column

Chapter 9: Loading data from Google Cloud

Lecture 1: Create a free trial

Lecture 2: Create a storage object

Lecture 3: Create an integration object

Lecture 4: Create stages

Lecture 5: Query and load the data

Chapter 10: Working wiht JSON data

Lecture 1: JSON File data classification

Lecture 2: Insert data into table

Lecture 3: Query JSON data

Lecture 4: Query nested JSON data

Lecture 5: Apply functions to JSON objects

Lecture 6: Flatten JSON data

Lecture 7: JSON data to tabular format

Chapter 11: Micro-partitions

Lecture 1: Introduction to Micro-partition

Lecture 2: Snowflake micro-partition advantages

Lecture 3: The columnar storage system

Lecture 4: Partition Types and I/O operations

Lecture 5: How micro-partitions work?

Chapter 12: Data Clustering

Lecture 1: What is data clustering?

Lecture 2: Clustering Keys

Lecture 3: Create cluster keys, query performances

Lecture 4: Alter/Drop cluster keys

Chapter 13: Views

Lecture 1: Non-Materialized view

Lecture 2: Combining views together

Lecture 3: What is a Materialized View?

Lecture 4: When to create or not create a materialized view?

Lecture 5: Creating and analyzing materialized views performances

Lecture 6: Important metadata columns

Lecture 7: Are views dynamic?

Lecture 8: Are materialized views dynamic?

Lecture 9: Table Alter effect on materialized view

Lecture 10: Data updates on standard and materialized views

Lecture 11: Materialized views limitations

Lecture 12: Limitations of views

Lecture 13: How to create a recursive view?

Chapter 14: Data Sampling Techniques

Lecture 1: What is data sampling?

Lecture 2: Data sampling methods

Lecture 3: Using ROW and SYSTEM methods

Lecture 4: Using SEED to compare data records

Chapter 15: Snowflake Tasks

Lecture 1: Creating a task

Lecture 2: Alter, clone a task, review history

Lecture 3: Understand schedule parameter

Lecture 4: Using CRON

Lecture 5: Creating a serverless task

Lecture 6: Task tree

Lecture 7: calling a stored procedure

Lecture 8: Task with conditions

Instructors

Adnan Waheed
Founder KlickAnalytics and ex-Bloomberg employee

Rating Distribution

1 stars: 0 votes

2 stars: 0 votes

3 stars: 2 votes

4 stars: 4 votes

5 stars: 3 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!