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DP-900 Microsoft Azure Data Fundamentals

In this course, students will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure.

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Renganathan
Renganathan
1 day
All levels
0 lessons
0 quizzes
0 students

Course Info

In this course, students will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will identify and describe core data concepts such as relational, non-relational, big data, and analytics, and explore how this technology is implemented with Microsoft Azure. They will explore the roles, tasks, and responsibilities in the world of data. The students will explore relational data offerings, provisioning and deploying relational databases, and querying relational data through cloud data solutions with Microsoft Azure. They will explore non-relational data offerings, provisioning and deploying non-relational databases, and non-relational data stores with Microsoft Azure. Students will explore the processing options available for building data analytics solutions in Azure. They will explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. Students will learn what Power BI is, including its building blocks and how they work together.

What Will I Learn From This Course?

Describe core data concepts in Azure

Explain concepts of relational data in Azure

Explain concepts of non-relational data in Azure

Identify components of a modern data warehouse in Azure

Pre-requisites

Successful Azure Data Fundamentals students start with some basic awareness of computing and Internet concepts, and an interest in extracting insights from data such as experience using a web browser, such as Microsoft Edge, familiarity with basic data-related concepts, such as working with tables of data in a spreadsheet and visualizing data using charts and a willingness to learn through hands-on exploration.

Target Audience

The audience for this course is individuals who want to learn the fundamentals of database concepts in a cloud environment, get basic skills in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure.

Methodology

Lectures, visual presentations, hands-on demo files and exercises, Q&A

Course Outline for This Programme

  • Explore core data concepts
  • Explore roles and responsibilities in the world of data
  • Describe concepts of relational data
  • Explore concepts of non-relational data
  • Explore concepts of data analytics
  • Explore relational data services in Azure
  • Explore provisioning and deploying relational database services in Azure
  • Query relational data in Azure
  • Explore non-relational data services in Azure
  • Explore provisioning and deploying non-relational data services on Azure
  • Manage non-relational data stores in Azure
  • Examine components of a modern data warehouse
  • Explore large-scale data analytics
  • Get started building with Power BI
Curriculum is empty
Renganathan
Renganathan

Renganathan Palanisamy has extensive experience in both academic and corporate training arena which enables him to incorporate best practices of both training approach to ensure training delivery is effective and relevant. This is further strengthened by his involvement in various technology related collaboration with renowned players in the industry such as Microsoft, IBM and Oracle. During his service as a Programme Leader in KDU College Sdn Bhd, he was responsible for coordination, collaboration and delivery of courses offered by Sun Microsystems in partnership with Guidance View and as Authorized Sun Education Centre, Oracle under its Workforce Development Programme and Microsoft through its MSDN Academic Alliance Programme.

He started off his early days of involvement in IT industry professing strong inclination towards Java technology and the object oriented design and development practices. He was able to share his in-depth knowledge of the technology via several academic courses and workshops he conducted for students and academic staff alike. Later he ventured into database design and development with Oracle and eventually expanded to include Microsoft SQL Server as well as IBM DB2 and IBM Informix.

Currently his main focus is on delivering Data Management and Business Intelligence tracks which is strongly complemented by his exposure to non-Microsoft related technologies. He has strong understanding of .NET technologies and tools. His knowledge is seeked as evident in his presence at premier events such as Microsoft TechEd and his involvement in SQL PASS local group (SPAN). His technical skills coupled with know-how of training delivery techniques have earned him recognition amongst his peers and attendees of his training sessions. His specialty includes the ability to relate concepts derived from various technologies and ability to ensure smooth transition for trainees migrating to different technology. Resourcefulness is his trademark and this helps enhance the training experience of the attendees.

He is a dynamic and versatile individual. He is willing to take up new challenges to learn and has the ability to apply new skills in a short span of time. Other strengths include good time management, analytical skills, ability to present ideas in innovative ways and most importantly, a sense of responsibility.

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