Snowflake[A-Z] Zero to Hero Masterclass(Core+SQL+API+Visual)

Snowflake[A-Z] Zero to Hero Masterclass(Core+SQL+API+Visual), available at $99.99, has an average rating of 4.47, with 230 lectures, 20 quizzes, based on 6031 reviews, and has 34978 subscribers.

You will learn about Core Snowflake Concepts Advanced Concepts such as Time Travel, Fail Safe, Caching, etc. Detailed Overview of Snowflake WebUI SQL – Beginner to Advanced Snowflake API for Python Automate Snowflake tasks using Python Connect Snowflake Data with Tableau and create visualizations Connect Snowflake Data with PowerBI and create visualizations Frequent Updates about Snowflake functionalities WILL BE HELPFUL TO GO FOR CERTIFICATION This course is ideal for individuals who are Data Engineers who are looking to expand their horizon or Data Analysts & Data Scientists: To make data ready on snowflake to perform Analytics on it or Any person who is interested to learn Snowflake from Beginner to Expert level or Students or any working professionals who are looking for upskilling themselves It is particularly useful for Data Engineers who are looking to expand their horizon or Data Analysts & Data Scientists: To make data ready on snowflake to perform Analytics on it or Any person who is interested to learn Snowflake from Beginner to Expert level or Students or any working professionals who are looking for upskilling themselves.

Enroll now: Snowflake[A-Z] Zero to Hero Masterclass(Core+SQL+API+Visual)

Summary

Title: Snowflake[A-Z] Zero to Hero Masterclass(Core+SQL+API+Visual)

Price: $99.99

Average Rating: 4.47

Number of Lectures: 230

Number of Quizzes: 20

Number of Published Lectures: 229

Number of Published Quizzes: 20

Number of Curriculum Items: 251

Number of Published Curriculum Objects: 250

Number of Practice Tests: 2

Number of Published Practice Tests: 2

Original Price: 鈧?,199

Quality Status: approved

Status: Live

What You Will Learn

Core Snowflake Concepts

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

Detailed Overview of Snowflake WebUI

SQL – Beginner to Advanced

Snowflake API for Python

Automate Snowflake tasks using Python

Connect Snowflake Data with Tableau and create visualizations

Connect Snowflake Data with PowerBI and create visualizations

Frequent Updates about Snowflake functionalities

WILL BE HELPFUL TO GO FOR CERTIFICATION

Who Should Attend

Data Engineers who are looking to expand their horizon

Data Analysts & Data Scientists: To make data ready on snowflake to perform Analytics on it

Any person who is interested to learn Snowflake from Beginner to Expert level

Students or any working professionals who are looking for upskilling themselves

Target Audiences

Data Engineers who are looking to expand their horizon

Data Analysts & Data Scientists: To make data ready on snowflake to perform Analytics on it

Any person who is interested to learn Snowflake from Beginner to Expert level

Students or any working professionals who are looking for upskilling themselves

UPSKILL YOURSELF  WITH THIS MASTERCLASS!

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SnowPro Core Certification Practice Test added

– This will help you understand the examination pattern

– Will boost your confidence before attempting the actual examination

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This course is launched in SEPTEMBER 2020 with motive to make you Master on Snowflake Data Warehouse core concepts as well as its APIs, connectors, SQL, etc. This course will also help you to get certified on Snowflake.

This course is providing HIGHEST NUMBER OF CONTENT HOURS to cover each and every aspect related to Snowflake.

In couple of days, this course is marked as “Best Seller”course by Udemy because of:

1.) course content

2.) students feedback

3.) students engagement

4.) prompt instructor responses on QnA

5.) proportion of number of new enrollments as compared to other courses

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– TAKE THIS COURSE WITH MONEY-BACK GUARANTEE OF 30 DAYS–

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Snowflake is an in-demand cloud Data Warehouse. It solves most of the problems such as scalability, maintenance and downtime which we used to face with traditional data warehouses.

Using its Modern Architecture and Massive Parallel Processing (MPP) power, many complex problems can be solved within minutes. These days, Data Analysts/Data Scientists/Data Engineers are adopting Snowflake to avoid any maintenance and to pay what they use. Because of its elasticity, they spend less time finding insights from the data stored in Snowflake.

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This course is specially designed for people who are looking forward to learn Snowflake. It does not matter if you are working as a Data Analyst/Data Scientists/Data Engineer/Programmer/BI Expert or as a Student, Data is everywhere so there is a need to process voluminous data to perform day-to-day tasks.

I have tried to include all aspects to perform operations on Snowflake such as:

1.) Snowflake Core concepts
2.) Snowflake Advanced Concepts:
        – Time Travel
        – Fail Safe
        – Zero-Copy Cloning
        – Data Sharing
        – Query History
        – Resource Monitors
        – Caching
        – Micro-Partitioning
3.) Working with Snowflake APIs using Python
4.) Use Tableau with Snowflake for Visualizations
4.) Use PowerBI with Snowflake for Visualizations
6.) Snowflake SQL – Beginner to Expert Level

A lot of companies are adopting Snowflake as their Data Warehouse and migrating data from disparate sources to it. Because of Snowflake’s architecture, companies are saving their costs as Snowflake separates storage and compute costs. Also, you have to pay for what you use on Snowflake. There is no overhead cost on top of it.

Along with this, companies get a lot of advantages with respect to setting up Snowflake.

– They just have to create Snowflake account
– No hardware setup is required
– No software is required to run snowflake
– No installation is needed
– Users does not need to bother about their infrastructure, Snowflake takes care of it perfectly by themselves.
– Snowflake provides default security on data such as encryption of data at rest and in transit.
And many more.

You will get downloadable one-stop-shop for all the resources used in this Masterclass

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********************   By end of this course, you will be able to work as an Snowflake Expert   ********************

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I am sure you would enjoy learning Snowflake with me. 馃檪

In case you don’t then you can take benefit of 30 days money-back guarantee within first 30 days and i would be happy to refund your money.

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About Me:

I am Kashish Gakkar, a Senior Data Engineer holding more than 7years of experience. I have experience on various skills and technologies related to:

        – ETL
        – Data Warehousing
        – Data Science/Analytics
        – Business Intelligence
        – Big Data
        – Cloud Technologies : AWS & AZURE
        – Programming Expertise : Python, SAS, etc.

HAPPY LEARNING & KEEP GROWING

Course Curriculum

Chapter 1: Introduction

Lecture 1: Know your Instructor

Lecture 2: Introduction to Snowflake

Lecture 3: Create Free Snowflake Account

Lecture 4: Download Resources for this course

Chapter 2: Deep Dive into Snowflake

Lecture 1: Different Roles in Snowflake

Lecture 2: Explore – Databases, Schemas and Tables

Lecture 3: Snowflake Architecture

Lecture 4: Virtual Warehouses (Compute Engine) – Intro

Lecture 5: Virtual Warehouses – Standard vs Economy Scaling policy

Chapter 3: Snowflake Pricing

Lecture 1: Snowflake Pricing – Overview

Lecture 2: What are Snowflake Credits

Lecture 3: Snowflake Editions

Lecture 4: Serverless Features cost

Lecture 5: Storage Cost

Lecture 6: Choose Storage type wisely

Lecture 7: Check storage cost for different regions

Lecture 8: Virtual Warehouses – Compute Cost

Lecture 9: Cloud Services Cost

Lecture 10: Data Transfer Cost

Lecture 11: Check consumed CREDITS on your account

Lecture 12: Queries to check consumption

Lecture 13: Optimization Methods to reduce cost

Chapter 4: Resource Monitors – Track Compute Consumption

Lecture 1: Resource Monitors – Introduction

Lecture 2: Properties of Resource Monitor

Lecture 3: Actions or Triggers of Resource Monitors

Lecture 4: Suspension or Resumption

Lecture 5: Detailed Example – How Resource Monitors work

Lecture 6: Create a Resource Monitor using WebUI

Lecture 7: SQL queries to Create Resource Monitor

Chapter 5: Micro-Partitioning in Snowflake

Lecture 1: Partitioning in Traditional Data Warehouses

Lecture 2: Partitioning in Snowflake – Micro Partitioning

Lecture 3: Advantages of Micro-Partitioning

Lecture 4: Structure of Micro-Partition

Lecture 5: Query Processing in Snowflake

Chapter 6: Clustering in Snowflake

Lecture 1: Clustering Introduction

Lecture 2: Clustering Keys

Lecture 3: Clustering Metadata

Lecture 4: Clustering Depth

Lecture 5: Automatic Re-clustering

Chapter 7: Query History & Caching

Lecture 1: Query History

Lecture 2: Detailed Lab – Query History

Lecture 3: SQL Queries to fetch Query History

Lecture 4: Caching in Snowflake

Lecture 5: Caching – Detailed using Examples

Lecture 6: Lab – Results Cache

Chapter 8: Jump into Code

Lecture 1: Worksheets – Databases, Schemas, Tables, etc.

Lecture 2: Setting up Context/Parameters for worksheet

Lecture 3: Run first SQL statement

Lecture 4: More about Worksheets Results section

Chapter 9: Load data from AWS (Amazon Web Services)

Lecture 1: Create Free AWS Account

Lecture 2: What is AWS s3 and how to create buckets under it

Lecture 3: What is IAM (Identity & Access Management)

Lecture 4: Create an IAM Group

Lecture 5: Create IAM User

Lecture 6: Create AWS IAM Role

Lecture 7: Upload data to AWS s3 using web console

Lecture 8: Load Data – 1st Step | Create Table Schema

Lecture 9: Load Data – 2nd Step | Create Integration object – 1

Lecture 10: Load Data – 2nd Step | Create Integration object – 2

Lecture 11: Loading CSV Data to snowflake using COPY command

Lecture 12: Load Complete CSV data from S3

Lecture 13: Load Parquet data – Part 1

Lecture 14: Load Parquet data – Part 2

Lecture 15: View Stages and File formats

Lecture 16: Load JSON Data from AWS S3

Chapter 10: Snowpipe – Continuous Data Ingestion Service

Lecture 1: Introduction to Snowpipe

Lecture 2: Load CSV Data from s3 using Snowpipe

Lecture 3: Load PARQUET Data from s3 using Snowpipe

Lecture 4: Load JSON Data from s3 using Snowpipe

Chapter 11: Load data from Microsoft Azure

Lecture 1: Load data from Azure – Overview

Lecture 2: Create Azure Trial Account – FREE

Lecture 3: Azure Infrastructure Hierarchy

Lecture 4: Create storage account

Lecture 5: Load data on Azure data lake

Lecture 6: Create integration and stage objects

Lecture 7: Load CSV data from Azure data lake

Lecture 8: Load Parquet data from Azure

Chapter 12: Different Types of Tables

Lecture 1: Different Types of Tables

Lecture 2: Create Permanent & Transient Database

Instructors

Kashish Gakkar
Data Engineer

Rating Distribution

1 stars: 95 votes

2 stars: 113 votes

3 stars: 638 votes

4 stars: 2452 votes

5 stars: 2738 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!