Big Data Architecture Using Microsoft Azure
Data Architecture using Azure
IT and Software ,Other IT and Software,Microsoft Azure
Lectures -11
Duration -56 mins
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Course Description
Cloud computing architecture refers to the components and sub components required for cloud computing. These components typically consist of a front end platform, back end platforms, a cloud-based delivery, and a network. Combined, these components make up cloud computing architecture.
Goals
- Big Data : The Vast Changing World Of Data
- Modern Data Architecture Using Microsoft azure
- Introduction To Azure & Key Features
- Azure Portal
- Azure Resource Group
- Azure Data Catalog
- Azure SQL Server Machine Creation
- Connecting Azure SQL Server Using RDP
- Azure SQL Data Warehouse
- Azure Databricks & SQL Data Warehouse
Prerequisites
- Basic Programming Knowledge
- Fundamental Of Cloud

Curriculum
Check out the detailed breakdown of what’s inside the course
Microsoft Azure
10 Lectures
-
Big Data : The Vast Changing World Of Data 04:49 04:49
-
Modern Data Architecture With Azure 03:43 03:43
-
Introduction To Azure & Key Features 13:06 13:06
-
Azure Portal 08:05 08:05
-
Azure Resource Groups 05:43 05:43
-
Azure Data Catalog 02:53 02:53
-
Demo: azure Data Catalog 01:04 01:04
-
Create Azure SQL Server Virtual Machine 07:03 07:03
-
Connecting Azure SQL Server Using RDP 02:13 02:13
-
Azure Synapse(SQL Data Warehouse) 07:56 07:56
Instructor Details

Mukund kumar mishra
Driven by a fervent passion for catalyzing digital transformation, I am a dedicated Principal Consultant , with a strong focus on Big Data, Cloud (Azure, AWS), and cutting-edge Generative AI technologies. With over two decades of professional experience, I have built a stellar track record of driving innovation through the strategic deployment of AI and data-driven solutions.
In my career spanning diverse industries, including banking, insurance, manufacturing, and income tax, I have been at the forefront of leveraging Artificial Intelligence to empower organizations. My expertise in AI extends to enabling businesses to harness the power of data and achieve their strategic objectives by implementing state-of-the-art AI solutions.
Collaboration and innovation are the cornerstones of my approach. I thrive on working closely with cross-functional teams, including architects, engineering managers, and customer stakeholders, to define technology roadmaps that capitalize on the latest AI advancements and design robust application architectures that integrate AI seamlessly.
My forte lies in creating enterprise-level Data Lake and modern Data Warehouse capabilities, utilizing Hadoop ecosystems like HDFS, MapReduce, Pig, Sqoop, Hive, Spark, Scala, and Snowflake. I have also demonstrated remarkable proficiency in cloud environments, notably Azure and AWS, where I harness AI for data ingestion, storage, and processing, driving transformative business insights.
Additionally, my AI expertise encompasses data analysis, validation, and the development of AI-driven products, with a particular focus on areas like fraud management, where AI has proven to be a game-changer.
An enthusiastic advocate of knowledge sharing, I have been invited to speak at industry webinars and have contributed as a reviewer for a book on Practical Apache Spark. My qualifications include certifications as a Microsoft Certified Azure Solutions Architect, and I hold a PRINCE2® Practitioner Certificate in Project Management, which I apply to ensure the successful execution of AI-driven projects.
I invite you to join me on Tutorialspoint, where we will embark on an exhilarating learning journey to explore the transformative power of AI in the digital age.
This revised bio places a stronger emphasis on your AI capabilities and expertise, showcasing your proficiency in leveraging AI technologies for digital transformation.
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