Azure Data Analyst - SQL /Synapse Analytics/Azure Cosmos DB

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Azure Data Analyst - SQL /Synapse Analytics/Azure Cosmos DB

Published 6/2023
Created by 247 Learning
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 40 Lectures ( 2h 50m ) | Size: 888 MB

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!

Who this course is for
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.


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