Azure Data Fundamentals DP-900
The DP-900 Azure Data Fundamentals course is an introductory training program that focuses on the fundamental concepts of data services on Microsoft Azure. This course is intended for participants who have little to no experience with data services and want to gain a solid understanding of the data solutions available on Azure. During the course, participants will learn the fundamentals of data services, such as relational and non-relational databases, data analytics, and data storage solutions. They will also explore the operating principles of the most common Azure data services, such as Azure SQL Database, Azure Cosmos DB, Azure Synapse Analytics, and Azure Data Lake Storage. Participants will have the opportunity to understand how to use Azure data services to meet their organizations' needs for scalability, reliability, and security. They will also learn how to identify data migration requirements to Azure and apply best practices in selecting appropriate data solutions. Upon completion of the course, participants will have a good understanding of data solutions on Azure and will be ready to undertake more advanced learning and certification paths in the field of Azure data services. The course contributes to the preparation of the Azure Data Fundamentals Certification exam.
Course Objectives
Below is a summary of the main objectives of the Azure Data Fundamentals DP-900 course :
- Understand the fundamental concepts of data services on Microsoft Azure.
- Learn about relational and non-relational databases and data analytics.
- Explore Azure data services like Azure SQL Database and Azure Cosmos DB.
- Identify requirements for data migration to Azure.
- Apply best practices when choosing data solutions.
- Gain insights into Azure Data Lake Storage and Azure Synapse Analytics.
- Understand how to use Azure Data Factory for data integration.
- Learn about Azure Databricks and its role in big data analytics.
Course Certification
This course helps you prepare to take the:
Exam DP-900 Azure Data Fundamentals ;
Course Outline
Describe ways to represent data
- Describe features of structured data
- Describe features of semi-structured
- Describe features of unstructured data
Identify options for data storage
- Describe common formats for data files
- Describe types of databases
Describe common data workloads
- Describe features of transactional workloads
- Describe features of analytical workloads
Identify roles and responsibilities for data workloads
- Describe responsibilities for database administrators
- Describe responsibilities for data engineers
- Describe responsibilities for data analysts
Describe relational concepts
- Identify features of relational data
- Describe normalization and why it is used
- Identify common structured query language (SQL) statements
- Identify common database objects
Describe relational Azure data services
- Describe the Azure SQL family of products including Azure SQL Database, Azure SQL Managed Instance, and SQL Server on Azure Virtual Machines
- Identify Azure database services for open-source database systems
Describe capabilities of Azure storage
- Describe Azure Blob storage
- Describe Azure File storage
- Describe Azure Table storage
Describe capabilities and features of Azure Cosmos DB
- Identify use cases for Azure Cosmos DB
- Describe Azure Cosmos DB APIs
Describe common elements of large-scale analytics
- Describe considerations for data ingestion and processing
- Describe options for analytical data stores
- Describe Azure services for data warehousing, including Azure Synapse Analytics, Azure Databricks, Azure HDInsight, and Azure Data Factory
Describe consideration for real-time data analytics
- Describe the difference between batch and streaming data
- Describe technologies for real-time analytics including Azure Stream Analytics, Azure Synapse Data Explorer, and Spark Structured Streaming
Describe data visualization in Microsoft Power BI
- Identify capabilities of Power BI
- Describe features of data models in Power BI
- Identify appropriate visualizations for data
Course Mode
Instructor-Led Remote Live Classroom Training;
Trainers
Trainers are authorized Instructors in Microsoft and certified in other IT technologies, with years of hands-on experience in the industry and in Training.
Lab Topology
For all types of delivery, the participant can access the equipment and actual systems in our laboratories or directly in international data centers remotely, 24/7. Each participant has access to implement various configurations, Thus immediately applying the theory learned. Below are some scenarios drawn from laboratory activities.
Course Details
Course Prerequisites
There are no prerequisites.
Course Duration
Intensive duration 1 days;
Course Frequency
Course Duration: 1 days (9.00 to 17.00) - Ask for other types of attendance.
Course Date
- Azure Data Fundamentals Course (Intensive Formula) – On request – 09:00 – 17:00
Steps to Enroll
Registration takes place by asking to be contacted from the following link, or by contacting the office at the international number +355 45 301 313 or by sending a request to the email info@hadartraining.com
