Azure Data Analyst - Sql /Synapse Analytics/Azure Cosmos Db

Harnessing the Power of Azure: Data Analysis with SQL, Synapse Analytics, and Cosmos DB

What you'll learn

An overview of Microsoft Azure's data services.

Introduction to Azure SQL, a fully managed relational database service.

Creating and managing databases in Azure SQL.

Querying databases using SQL language

Optimization and performance tuning in Azure SQL.

Understanding of Azure Synapse Analytics.

Performing big data analytics using Azure Synapse Analytics.

Requirements

Basic Knowledge of SQL: This course includes working with Azure SQL and performing various data manipulation tasks using SQL. Therefore, a foundational understanding of SQL and familiarity with concepts like querying data, joining tables, etc., will be beneficial.

Understanding of Data Analysis Concepts: Knowledge of basic data analysis concepts such as data cleaning, exploration, and interpretation will be advantageous, given the course's focus on data analytics.

Familiarity with Cloud Computing: As this course is centered around Microsoft Azure, a basic understanding of cloud computing principles will be beneficial. Prior experience with any cloud platform (not necessarily Azure) can provide a helpful context.

General IT Knowledge: Basic IT skills, including understanding of databases, servers, and networks, will aid in grasping the course material effectively.

Eagerness to Learn: More than any technical prerequisites, an eagerness to learn new concepts and actively participate in the course is critical.

Description

Welcome to "Harnessing the Power of Azure: Data Analysis with SQL, Synapse Analytics, and Cosmos DB," an all-encompassing course designed to equip you with the vital skills needed to effectively leverage Microsoft Azure's advanced data services. This course is meticulously tailored to impart the requisite knowledge and hands-on experience in Azure SQL, Synapse Analytics, and Cosmos DB, thereby making you a competent and confident Azure data analyst.Throughout this course, you will dive into the depth of Azure SQL, a fully managed relational database service, providing reliable and secure options to run your data-driven applications smoothly. You'll learn about creating, querying, and managing databases, making full use of SQL's power to manipulate data and structure advanced queries. As we explore these aspects, you'll also acquire a robust understanding of performance tuning and optimization techniques, ensuring efficient data operations on Azure.Moving forward, we'll dive into Azure Synapse Analytics, a limitless analytics service that brings together data integration, enterprise data warehousing, and big data analytics. You'll gain a strong understanding of data ingestion, preparation, management, and service of data for immediate business intelligence and machine learning needs. We'll explore the world of data warehousing solutions, working with large data sets, and understanding analytical queries' role in driving insights.Our journey won't stop there. We'll delve into Azure Cosmos DB, Microsoft's globally-distributed, multi-model database service. You'll learn how Cosmos DB allows you to scale throughput and storage across any number of Azure regions worldwide. You'll get hands-on experience with this low-latency, high-availability service that offers comprehensive service level agreements (SLAs) enveloping throughput, latency, availability, and consistency.By the end of this course, you'll not only understand these services' concepts but also know how to implement them practically. You'll be able to decide which Azure data service is best suited for your specific needs, be it relational database management with Azure SQL, big data analytics with Synapse, or globally-distributed applications with Cosmos DB. This wide range of skills will make you a valuable asset in the evolving field of data analysis.To ensure you get the most out of your learning experience, we've carefully structured the course to include a balance of theoretical knowledge and practical tasks. We believe that learning is maximized when concepts are put to practical use. Therefore, you'll have the opportunity to work on various projects and assignments simulating real-world challenges.To excel in this course, a basic understanding of data analysis concepts and SQL is beneficial. However, the course is designed to be accessible to those with varying levels of experience, including beginners who are enthusiastic about mastering Azure data services. If you're a student, an IT professional, or anyone keen on data-driven insights, this course is an excellent fit.Join us in this exciting journey to harness the power of Azure data services, and make a significant stride in your career in data analysis!

Overview

Section 1: Introduction to Azure Data Services

Lecture 1 Introduction

Lecture 2 What is Azure

Lecture 3 Azure Fundamentals

Lecture 4 Overview of Azure Data Services

Lecture 5 Create a free Azure account

Lecture 6 How to access Azure Services

Lecture 7 Azure SQL, Synapse Analytics, and Cosmos DB: A comparison

Lecture 8 Install SQL Server Management Studio (SSMS)

Section 2: Azure SQL : Perform CRUD Operations

Lecture 9 What is Azure SQL

Lecture 10 Introduction to SQL

Lecture 11 What is CRUD

Lecture 12 Create a database on Azure Portal

Lecture 13 Query SQL database on Azure Portal

Lecture 14 Connect SSMS to Azure database

Lecture 15 Insert data into Azure SQL Database

Lecture 16 Update data in Azure SQL Database

Lecture 17 Delete data from Azure SQL Database

Section 3: Analyse & Visualize Data using Azure Synapse Analytics

Lecture 18 What is Azure Synapse Analytics

Lecture 19 When to use Azure Synapse Analytics

Lecture 20 Common types of analytical techniques

Lecture 21 What is a dedicated SQL Pool

Lecture 22 Provision a dedicated SQL Pool for data warehouse

Lecture 23 Provision an Azure Synapse Analytics Workspace

Lecture 24 Create a server-level firewall rule

Lecture 25 Query a dedicated SQL Pool

Lecture 26 Explore Synapse Studio

Lecture 27 Ingest data with a pipeline

Lecture 28 Use a serverless SQL Pool to analyse data

Lecture 29 Visualizing data with Synapse Studio

Section 4: Query Data on Azure Cosmos DB

Lecture 30 What is NoSQL

Lecture 31 Categories of NoSQL Databases

Lecture 32 What NoSQL Databases can do

Lecture 33 NoSQL Vs RDBMS

Lecture 34 What is CosmosDB

Lecture 35 Azure Cosmos DB API

Lecture 36 Create an Azure Cosmos DB Account

Lecture 37 Create an Azure Cosmos DB Resources

Lecture 38 Add a database and container

Lecture 39 Add data to your database

Lecture 40 Query data on CosmosDB

Aspiring Data Analysts: Individuals looking to break into the field of data analysis and seeking to specialize in cloud-based data services would greatly benefit from this course,Current Data Professionals: Current data analysts or data scientists looking to upskill and become familiar with Azure's suite of data services can expand their expertise with this course.,IT Professionals: IT professionals working in different roles who want to understand and learn more about Azure data services and data analysis can expand their skillset with this course.,Database Administrators: Database professionals seeking to broaden their understanding of cloud-based database services would find this course beneficial.,Students: Students in computer science, information systems, data science, or related fields looking to gain practical, in-demand skills can significantly benefit from this course.,Any Professionals: Any professionals involved in decision-making that relies on data might find the course useful to better understand the possibilities and constraints of their organization's data infrastructure.