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Azure Data Fundamentals DP-900

(2 WEEK CLOUD READY COURSE)

Learn MICROSOFT CLOUD from scratch with real practicals

Azure Data Fundamentals is the most important & emerging technology in IT Industry.

FOR ~~10000 INR~~FREE

Course Details

Start Date

27 Nov 2023

Timmings

Mon, Wed & Fri

8:15 AM IST

Duration

2 Weeks

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Course Highlights

Live Classes

Expert Intructor led

Live Classes

Quizzes/ Assignments

Quizzes / Assigments for Each Topic

Lifetime Access

Recording will be provided with Lifetime Access

Interview Tips

Interview Tips for Each Topic with detailed Explaination

Job Assistance

Job assistance with huge Network of Azurelib Academy

Certificate

Certificate will be provided on Course Completion

Course Content!

1

Introduction

Snowflake : What? Why? Benfits?
Snowflake Architecture
Editions
Pricing and Budgeting

2

Account Setup

1. Snowflake Account Setup 2. Createing your Warehouse & UI overview 3. Installation SnowSQL on Windows & Testing SnowSQL

3

Master core data concepts

1. Need, benfits 2. How to setup Datawarehouse? 3. Data Ingestion 4. Exploring databases and tables 5. Tables, Types of Tables

4

Data Responisbilites

1. Stages 2. Loading 3. Copy 4. Various file formats (csv, json, parquet, etc) 5. Loading various types of data 6. Structured & Unstructured data handling 1. Manually import data from AWS 2. Implement a snowpipe stream with data from S3 3. Integration with AZURE 4. Integration with GCP

5

Relational Data Concepts

6

Azure data services

1. How to create Tasks 2. Jobs 3. Scheduling Jobs

7

8

Large-scale analytics

1. Create a visualization worksheet 2. Create a dashboard 3. Connect PowerBI to Snowflake 4. Query data with Python

9

Introduction to DBT

10

Real World Project

Testimonials

What other say about our Courses...

Who is the Intructor?

Deepak Goyal

• 14+ Years Experienced IT professional • Microsoft Certified Trainer • Microsoft Certified Solution Architect • Founder of Azurelib.com • Linkedin Celebrity with having 150K+ Followers • Helped many organizations to build Data data platforms