- Platform
- edX
- Provider
- Microsoft
- Effort
- 2-3 hours/week
- Length
- 6 weeks
- Language
- English
- Credentials
- Paid Certificate Available
- Part of
- Course Link
Overview
This course is part of the Microsoft Professional Program Certificate in Big Data.
When you need to scale your data warehouse's storage and processing capabilities in minutes, not months, you need a cloud-based massively parallel processing solution.
In this computer science course, you will learn how to deploy, design, and load data using Microsoft's Azure SQL Data Warehouse, or SQL DW. You'll learn about data distribution, compressed in-memory indexes, PolyBase for Big Data, and elastic scale.
Note: To complete the hands-on elements in this course, you will require an Azure subscription. You can sign up for a free Azure trial subscription (a valid credit card is required for verification, but you will not be charged for Azure services). Note that the free trial is not available in all regions. It is possible to complete the course and earn a certificate without completing the hands-on practices.
What you'll learn
In this course, you’ll learn theory and techniques for:
Taught by
Chris Randall and Chris Testa-O'Neill
This course is part of the Microsoft Professional Program Certificate in Big Data.
When you need to scale your data warehouse's storage and processing capabilities in minutes, not months, you need a cloud-based massively parallel processing solution.
In this computer science course, you will learn how to deploy, design, and load data using Microsoft's Azure SQL Data Warehouse, or SQL DW. You'll learn about data distribution, compressed in-memory indexes, PolyBase for Big Data, and elastic scale.
Note: To complete the hands-on elements in this course, you will require an Azure subscription. You can sign up for a free Azure trial subscription (a valid credit card is required for verification, but you will not be charged for Azure services). Note that the free trial is not available in all regions. It is possible to complete the course and earn a certificate without completing the hands-on practices.
What you'll learn
In this course, you’ll learn theory and techniques for:
- Choosing a massively parallel processing architecture for a cloud-based data warehouse.
- Designing tables and indexes to efficiently distribute data in tables across many nodes.
- Loading data from a variety of sources, querying using PolyBase, securing and recovering data, and integrating into Big Data environments.
Syllabus
Module 1: Inroducing SQL Data Warehouse
This module introduces Azure SQL Datawarehouse, Microsoft's data warehouse in the cloud. You'll learn about massively parallel processing, how to provision and configure SQL DW.
Module 2: Designing and Querying Data Warehouses
This module covers table design, partitioning, indexes and statistics. It introduces elastic query and tools for monitoring queries.
Module 3: Integrating and Ingesting Data
This module covers loading data into SQL DW with Azure Data Factory, Polybase, and Azure Stream Analytics. It also covers integrating with Azure Machine Learning, and visualizing data with Power BI.
Module 4: Managing Data Warehouses
This module covers monitoring and managing SQL DW workloads and performance, security, scaling, and managing backups.
Final Exam
The final exam accounts for 30% of your grade and will be combined with the weekly quizzes to determine your overall score. You must achieve an overall score of 70% or higher to pass this course and earn a certificate.
Module 1: Inroducing SQL Data Warehouse
This module introduces Azure SQL Datawarehouse, Microsoft's data warehouse in the cloud. You'll learn about massively parallel processing, how to provision and configure SQL DW.
Module 2: Designing and Querying Data Warehouses
This module covers table design, partitioning, indexes and statistics. It introduces elastic query and tools for monitoring queries.
Module 3: Integrating and Ingesting Data
This module covers loading data into SQL DW with Azure Data Factory, Polybase, and Azure Stream Analytics. It also covers integrating with Azure Machine Learning, and visualizing data with Power BI.
Module 4: Managing Data Warehouses
This module covers monitoring and managing SQL DW workloads and performance, security, scaling, and managing backups.
Final Exam
The final exam accounts for 30% of your grade and will be combined with the weekly quizzes to determine your overall score. You must achieve an overall score of 70% or higher to pass this course and earn a certificate.
Taught by
Chris Randall and Chris Testa-O'Neill