Data Bear

azure

Microsoft Azure

DP-900 Microsoft Azure Data Fundamentals

Micrsosoft Solutions Partner Data AI
azure

Microsoft Azure

DP-900 Microsoft Azure Data Fundamentals

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Introduction to DP-900 Microsoft Azure Data Fundamentals

This course is designed for beginners, offering an essential introduction to core data concepts, including both relational and non-relational data, as well as an overview of Azure data services.

Throughout the course, students will develop a solid understanding of core data principles, such as relational databases, non-relational storage, big data, and analytics. Participants will also build foundational knowledge on how Microsoft Azure supports cloud-based data services. The course includes in-depth exploration of relational database services in Azure, as well as non-relational storage solutions like Azure Cosmos DB. Additionally, learners will gain insight into data warehousing, real-time analytics, and data visualisation techniques within Azure.

Course Prerequisites

This course is aimed at individuals who want to learn the basics of cloud database concepts, acquire fundamental skills in Azure data services, and establish a strong foundation in managing data in the cloud.

This course is perfect for those who are new to data management and looking to understand how to leverage cloud technologies to handle various types of data.

Course Delivery Options

We offer flexible delivery options to suit your schedule, all delivered online by our expert instructors:

  • 1-Day Bootcamp: Immerse yourself in an intensive, full-day learning experience over a single day. This fast-paced, focused approach is ideal for those who want to complete their training in the shortest time possible.
  • Flexible 3.5 Hours/Day: Spread the learning across manageable sessions, with 3.5 hour daily classes. This flexible format allows you to fit training around your workday while still benefiting from live, interactive instruction.

Both options provide real-time, instructor-led training, allowing you to engage with the course content, ask questions, and collaborate with peers from the comfort of your home or office.

The key learning objectives

By the end of the course, participants will be able to explain fundamental data concepts, understand key factors for working with relational data in Azure, discuss best practices for handling non-relational data in Azure and describe the components of an analytics workload on Azure.

 

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Explore core data concepts:

Participants will Identify data formats, explore file storage, explore databases, explore transactional data processing, explore analytical data processing, explore job roles in the world of data, and identify data services.

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Explore relational data in Azure:

Participants will learn to understand normalisation, explore SQL, describe database objects, describe Azure SQL services and capabilities, understand Azure services for open-source databases, and explore Azure relational database services.

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Explore non-relational data in Azure:

Participants will explore Azure blob storage, Azure Data Lake Storage Gen2, Microsoft OneLake in Fabric, Azure Files, and Azure Tables.

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Explore fundamentals of Azure Cosmos DB:

Participants will Describe Azure Cosmos DB, Identify Azure Cosmos DB APIs, and Explore Azure Cosmos DB.

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Explore data analytics in Azure:

Participants will describe data warehousing architecture, explore data ingestion pipelines, explore analytical data stores, explore data analytics in Microsoft Fabric, understand batch and stream processing, explore common elements of stream processing architecture, explore Microsoft Fabric Real-Time Intelligence, and explore Apache Spark structured streaming

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Explore fundamentals of data visualisation:

Participants will describe Power BI tools and workflow, describe core concepts of data modelling, describe considerations for data visualization, and explore fundamentals of data visualisation with Power BI.

Throughout the course, ample time will be provided for students to follow along with the instructor during demonstrations and labs. The labs are designed to reinforce the concepts learned in each module and provide hands-on practice in applying the skills.

Why Choose us?

As a Microsoft Solution Partner since 2016, we have demonstrated a long-standing commitment to excellence in delivering Microsoft solutions. Our extensive experience and deep understanding of Microsoft technologies enable us to provide tailored training and support that meets the unique needs of our clients. We leverage our partnership to stay at the forefront of industry trends and innovations, ensuring that our training programs are not only relevant but also impactful. Our dedicated team of experts is passionate about empowering organizations to maximize their investment in Microsoft products, making us an ideal partner for your training needs.

Frequently Asked Questions

The DP-900 exam, also known as the Microsoft Azure Data Fundamentals exam, assesses foundational knowledge of core data concepts and how they are implemented using Microsoft Azure data services.

This course is ideal for individuals seeking to validate their understanding of data concepts and Azure data services, including data professionals, developers, and anyone interested in pursuing a career in data management and analytics.

The course covers essential topics such as:
– Core data concepts
– Relational and non-relational data
– Data storage options in Azure
– Data processing and analytics
– Data security and compliance

While there are no formal prerequisites, a basic understanding of data concepts and familiarity with cloud computing will be beneficial for participants.

The DP-900 exam consists of multiple-choice questions and may include case studies. It is typically administered online or at designated testing centers.

In addition to completing this course, we recommend reviewing the official Microsoft documentation, utilizing practice exams, and engaging in hands-on experience with Azure data services.

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