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: ₹1,199
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. 🙂
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 Worksheet's 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
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