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Thomas LeBlanc

This course will teach you the high-level topics and services used in DP-900 exam in the Azure Data Warehouse services section.

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This course will teach you the high-level topics and services used in DP-900 exam in the Azure Data Warehouse services section.

Azure has brought data warehousing to a new level. In this course, Data Literacy: Understanding Data Warehousing with Azure, you’ll learn the high-level overview of a modern data warehouse using Azure Data Warehouse services. First, you’ll explore Azure data storage options. Next, you’ll discover ingestion techniques using Azure Data Factory. Finally, you’ll learn how to produce insights with analytical, machine learning, and visualization tools. When you’re finished with this course, you’ll have the skills and knowledge to answer the Data Warehouse questions needed to pass the DP-900 exam.

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What's inside

Syllabus

Course Overview
Modern Data Warehouse Storage
Flow of Data and Massive Parallel Processing
Analyzing, Slicing, and Dicing Data
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Analytics with Azure Databricks

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches the high-level overview of a modern data warehouse using Azure Data Warehouse services
Covers the DP-900 exam in the Azure Data Warehouse services section
Provides an overview of Azure data storage options
Explores ingestion techniques using Azure Data Factory
Examines how to produce insights with analytical, machine learning, and visualization tools
Requires learners to come in with extensive background knowledge first

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Data Literacy: Understanding Data Warehousing with Azure with these activities:
Review Data Warehousing Concepts
Refresh your understanding of data warehousing fundamentals.
Browse courses on Data Warehouse
Show steps
  • Read articles and tutorials
  • Review course materials
Seek Guidance from an Azure Data Warehouse Expert
Expand your knowledge with expert advice.
Browse courses on Mentorship
Show steps
  • Identify potential mentors
  • Reach out to mentors and request guidance
Explore Azure Data Lake Storage and Azure Synapse Analytics
Prepare by familiarizing yourself with Azure's data storage solutions.
Browse courses on Azure Data Lake Storage
Show steps
  • Visit the Azure Data Lake Storage website
  • Explore Azure Synapse Analytics
  • Follow tutorials to get hands-on experience
Two other activities
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Show all five activities
Practice Writing Azure Data Factory Data Movement Queries
Solidify your understanding of data ingestion techniques.
Browse courses on Azure Data Factory
Show steps
  • Review Azure Data Factory documentation
  • Create a free Azure account
  • Build a sample pipeline and execute queries
Develop a Data Warehouse Solution for a Business Case
Apply your knowledge to a real-world scenario.
Browse courses on Data Warehouse Design
Show steps
  • Identify a business case
  • Design a data warehouse solution
  • Create a prototype of the solution
  • Document your findings

Career center

Learners who complete Data Literacy: Understanding Data Warehousing with Azure will develop knowledge and skills that may be useful to these careers:
Data Architect
A Data Architect is responsible for designing and managing data systems to meet an organization's business needs. This course can help you understand the high-level topics and services used in Azure Data Warehouse services, which can be a valuable skill for Data Architects.
Data Engineer
A Data Engineer is responsible for designing, building, and maintaining data pipelines and data warehouses. This course can help you understand the high-level topics and services used in Azure Data Warehouse services, which can be a valuable skill for Data Engineers.
Business Intelligence Analyst
A Business Intelligence Analyst is responsible for using data to provide insights to businesses. This course can help you understand the high-level topics and services used in Azure Data Warehouse services, which can be a valuable skill for Business Intelligence Analysts.
Data Analyst
A Data Analyst is responsible for collecting, cleaning, and analyzing data to identify trends and patterns. This course can help you understand the high-level topics and services used in Azure Data Warehouse services, which can be a valuable skill for Data Analysts.
Cloud Architect
A Cloud Architect is responsible for designing and managing cloud computing systems. This course can help you understand the high-level topics and services used in Azure Data Warehouse services, which can be a valuable skill for Cloud Architects.
Database Administrator
A Database Administrator is responsible for managing and maintaining databases. This course can help you understand the high-level topics and services used in Azure Data Warehouse services, which can be a valuable skill for Database Administrators.
Data Governance Analyst
A Data Governance Analyst is responsible for developing and implementing data governance policies and procedures. This course can help you understand the high-level topics and services used in Azure Data Warehouse services, which can be a valuable skill for Data Governance Analysts.
Data Privacy Analyst
A Data Privacy Analyst is responsible for protecting data from unauthorized access and use. This course can help you understand the high-level topics and services used in Azure Data Warehouse services, which can be a valuable skill for Data Privacy Analysts.
Data Scientist
A Data Scientist is responsible for using data to build models and predict outcomes. This course can help you understand the high-level topics and services used in Azure Data Warehouse services, which can be a valuable skill for Data Scientists.
Data Visualization Engineer
A Data Visualization Engineer is responsible for designing and creating data visualizations. This course can help you understand the high-level topics and services used in Azure Data Warehouse services, which can be a valuable skill for Data Visualization Engineers.
Machine Learning Engineer
A Machine Learning Engineer is responsible for designing and building machine learning models. This course can help you understand the high-level topics and services used in Azure Data Warehouse services, which can be a valuable skill for Machine Learning Engineers.
Software Engineer
A Software Engineer is responsible for designing, developing, and maintaining software applications. This course can help you understand the high-level topics and services used in Azure Data Warehouse services, which can be a valuable skill for Software Engineers.
Information Security Analyst
An Information Security Analyst is responsible for protecting data from unauthorized access and use. This course can help you understand the high-level topics and services used in Azure Data Warehouse services, which can be a valuable skill for Information Security Analysts.
Risk Analyst
A Risk Analyst is responsible for identifying and assessing risks to an organization. This course can help you understand the high-level topics and services used in Azure Data Warehouse services, which can be a valuable skill for Risk Analysts.
Compliance Analyst
A Compliance Analyst is responsible for ensuring that an organization complies with laws and regulations. This course can help you understand the high-level topics and services used in Azure Data Warehouse services, which can be a valuable skill for Compliance Analysts.

Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Data Literacy: Understanding Data Warehousing with Azure .
This classic text provides a comprehensive guide to dimensional modeling, a key concept in data warehousing design.
Provides a comprehensive guide to data governance, a critical aspect of data warehousing.
Provides a practical introduction to data science, including data analysis and machine learning, which are used in data warehousing for extracting insights from data.
Provides a comprehensive overview of data warehousing concepts, technologies, and implementations, including a discussion of Azure Data Warehouse.
Provides a comprehensive overview of data warehousing with SQL Server, including a discussion of Azure Data Warehouse.
Provides a comprehensive overview of relational database design and implementation, including a discussion of data warehousing.

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