
Explore cloud data warehousing with a managed platform as a service and learn how enterprise data warehousing and big data analytics unite for business analytics and machine learning.
Compare cloud data warehousing with on-premises systems, highlighting capital-light setup, platform as a service, scalable storage and compute, and fast, cost-efficient insights using MPP.
Contrast traditional on-premises data warehouses with modern cloud architectures, highlighting ETL, metadata, and the separation of compute and storage for scalable analytics.
Azure Synapse Analytics unifies data storage, ingestion, and analytics in one end-to-end, unified platform. It accelerates collaboration across teams and links data science with data engineering for faster insights.
Discover Azure Synapse benefits: limitless scale, a unified analytics workspace for data warehousing, big data, and AI tasks, with Python, SQL, Spark, Scala support and Power BI dashboards.
Explore modern data warehouse architecture and Azure Synapse, highlighting interconnection of Data Factory, data lake, and big data processing for unified analytics.
Create an Azure synapse analytics service, provision a logical server with admin name and admin password, configure firewall rules, and connect to management studio to query adventure work data warehouse.
Experience a unified Azure Synapse Studio for ingesting, exploring, analyzing, and visualizing data using SQL and Spark, with pipelines, data flows, notebooks, and Power BI.
Synapse Analytics' unified, code-free environment to connect to data sources, ingest, transform, and store data in a data lake, enabling proofs of concept and dashboards in Power BI.
Explore cloud warehousing benefits, a Microsoft platform-as-a-service offering, and a unified Sam apps service for efficient deployment and streamlined data workflows.
Important Note:
Please note that this is NOT a full course but a single module of the full-length course, and intended to cover very basic fundamental concepts for absolute beginners.
This module is NOT GOOD for you if:
You are already experienced in this technology
You are looking for an intermediate or advance concepts
You are looking for practical examples or demo
This module is GOOD for you if:
You want to understand the basic fundamental concepts of this technology.
This is a free module to help others. If you are not in the intended audience, I request you to please feel free to unenroll.
Where I can find a full-length course?
Please look at the bonus lecture in the end.
What will students learn in this course?
Azure SQL Data Warehouse
Azure Synapse Analytics Service
[Note]: This is the free version of this course. In case you are interested to learn below synapse topics further, you can look at my profile for the full version of this course.
MPP, Types, Partitioning, etc.
PolyBase loading techniques
Security
Configuration
Backup and Restore
Managing Workloads
Monitoring
Level
Beginners
Intended Audience
Database and BI developers who want to learn how to implement these technologies in Azure Cloud.
Anyone who wants to start learning warehousing and Data Engineering in the Azure cloud.
Language
English
If you are not comfortable in English, please do not take a course, captions are not good enough to understand the course.
Expected Outcomes
In this course
You will learn the difference between Traditional vs Modern vs Synapse Data warehouse architecture
You will learn why Microsoft Synapse Analytics service is going to be a game-changer in the Data Analytics
You will learn how to provision, configure and scale Azure Synapse Analytics service
Target Students
Beginners in Azure Platform
Data Engineers
Data Scientist
Database and BI developers
Database Administrators
Data Analyst or similar profiles
Prerequisites
Basic T-SQL and Database concepts
Azure Free trial Subscription
Course In Detail
Azure Synapse Analytics Service
Why we should consider warehousing solutions in the cloud
And then we'll discuss Microsoft's brand new Azure Synapse analytics service, and how this service brings together enterprise data warehousing and Big Data analytics, and provide a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.
Advantages of Synapse analytics service over other cloud-based analytics services.
We will discuss the difference between Traditional vs Modern vs Synapse Architecture.
You will also see Azure Synapse studio which provides a unified experience for all Data Professionals. So, whether you are Data Engineer, Data Scientists, Database administrator, business analysts or any other IT professional, you will find your space in Synapse studio.
And then finally in Demo, we'll provision new Azure Synapse Analytics Service, we will see how to pause or resume compute node which is very important, and how to set firewall rules and connect with SQL Server Management studio
[Tags]
Microsoft SQL Server, Azure SQL Server, Azure SQL Data Warehouse, Data Factory, Data Lake, Azure Storage, Azure Synapse Analytics Service, PolyBase, Azure monitoring, Azure Security, Data Warehouse, SSIS