MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 986 MB | Duration: 1h 33m
Practical Hands on Real project based Technical Interviews Questions Solved!!
What you'll learn
How to Solve real Data Problems using SnowFlake Technology.
Facing your Data Engineer Interviews with confidence.
Learn Best Solution for Real Scenario based questions.
Learn Solution with Practical Hands on Lab Videos.
Requirements
Strong Basics in SnowFlake cloud Technology.
Description
***Level 2***
The purpose of this Course is to help the Data Engineers who are going to be interviewed for Software development positions at various BIG Tech Companies, to crack the coding interview.
Enclosed in this Course is a Collection of Problems/Questions asked at various Coding Interviews.
Note that the numbers of questions enclosed in this Course is open ended.
Hence, by purchasing this course, you are obtaining something which helps you through out your Software Development Journey.
By the end of this Course,
You will have the ability to formulate real-world problems.
You will have the skill to analyze a problem, design the Solution and convert the problem statement to a tested Program.
You will have the analytical ability to determine the computational complexity of an Requirements.
Coming to the prerequisite of this Course, You should have strong basics on SnowFlake Cloud.
Note that this Course does not teach you SnowFlake.
It teaches you how to apply SnowFlake and its features to solve various problems.
All those Questions are based on real project based scenarios & best solution is suggested & implemented.
Happy to take your views on Solutions part & keep on updating this course.
I am super excited to see you enrolled in this Course & happy to help you in your Journey!
Thank You!
Who this course is for
Data Engineer , Data Analyst , Software Engineer.
Homepage
Online Courses - Learn Anything, On Your Schedule | Udemy
Udemy is an online learning and teaching marketplace with over 185,000 courses and 49 million students. Learn programming, marketing, data science and more.
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