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Azure SQL Data Warehouse Synapse Analytics - Module 1 (Free)
Rating: 4.5 out of 5(705 ratings)
14,807 students

Azure SQL Data Warehouse Synapse Analytics - Module 1 (Free)

Cloud Data Warehouse in Azure Synapse Analytics Service (formerly Azure SQL Data Warehouse)
Last updated 7/2021
English
English [Auto],

What you'll learn

  • Azure Synapse Analytics Service Basics
  • Azure SQL Data Warehouse Architecture
  • Traditional Data Warehouse Architecture
  • Modern Data Warehouse Architecture

Course content

1 section12 lectures1h 19m total length
  • Is this course good for me? Set expectation0:24
  • Introduction2:45

    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.

  • Why Warehousing in Cloud2:48

    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.

  • Traditional vs Modern Warehouse architecture14:24

    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 a Game changer6:48

    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.

  • Azure Synapse Benefits3:00

    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.

  • Modern vs Azure Synapse Architecture3:20

    Explore modern data warehouse architecture and Azure Synapse, highlighting interconnection of Data Factory, data lake, and big data processing for unified analytics.

  • Demo - Azure Synapse Analytics16:10

    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.

  • Demo - Azure Synapse Studio25:13

    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 unified experience for all Data Professionals2:20

    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.

  • Summary1:53

    Explore cloud warehousing benefits, a Microsoft platform-as-a-service offering, and a unified Sam apps service for efficient deployment and streamlined data workflows.

  • Bonus Lecture0:41

Requirements

  • Basic T-SQL and Database concepts
  • Azure Free trial Subscription

Description

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

Who this course is for:

  • Beginners in Azure Platform
  • Data Engineers
  • Data Scientist
  • Database and BI developers
  • Database Administrators
  • Data Analyst or similar profiles