Course: Azure Data Fundamentals (Exam: DP-900)

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$199.00
$240.79 incl. vat

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$199.00
$240.79 incl. vat

$199.00
$240.79 incl. vat

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duration: 25 hours |

Language: English (US) |

access duration: 180 days |

In Onbeperkt Leren

Details

In this training you will develop fundamental skills to build

database concepts in a cloud environment within Microsoft Azure.

You will work with core data concepts, such as relational,

non-relational and identifying and describing big data.

The audience for this course is individuals who want to 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.

Topics that are covered:

  • Core concepts of data analysis.
  • Business intelligence using Azure Data Explorer (cloud platform for big data analytics).
  • Setting up a Microsoft Azure SQL database for PostgreSQL, MySQL and MariaDB.
  • Recognize and apply data using SQL, Data Definition Language and Data Manipulation Language.
  • Cosmos DB, a fully managed NoSQL database for modern app development.
  • Data processing options, for example Azure HDInsight, Azure Databricks, Azure Synapse Analytics, Azure Data Factory.
  • Using Microsoft Power BI to optimize data, load datasets and create dashboards.

This Azure Data Fundamentals training can be used to prepare you for other Role-Based Azure certifications, such as Azure Database Administrator Associate or Azure Data Engineer Associate.

Result

After completing this training you will be familiar with:

  • core data concepts.
  • work with relational data on Azure.
  • work with non-relational data on Azure.
  • transactional and analytics workloads on Azure.

This training prepares you for the Azure Data Fundamentals DP-900 exam. When you pass the exam you are Microsoft Certified: Azure Data Fundamentals.

Prerequisites

You have a basic knowledge of cloud data services within Microsoft Azure.

Target audience

Data analist

Content

Azure Data Fundamentals (Exam: DP-900)

25 hours

DP-900 Azure Data Fundamentals: Data Workloads

  • Data workloads refer to the system's ability to handle and

  • process work. In this course, you'll learn about core data
  • workloads and workload management, including the need for data
  • solutions and the various types of data storage. You’ll then
  • explore transactional and analytical workloads, Azure Batch, and
  • real time processing. Finally, you’ll learn about the differences
  • between batch data and streaming data and the fundamentals of
  • relational data. This course is one in a collection that prepares
  • learners for Microsoft Azure Data Fundamentals (DP-900) exam.

DP-900 Azure Data Fundamentals: Data Analytics

  • Data analytics enables you to extract valuable insights from

  • data and uncover patterns. In this course, you'll learn about data
  • analytics core concepts. You'll examine data visualization,
  • including business intelligence and reporting using Azure Data
  • Explorer, a fully-managed big data analytics cloud platform. You'll
  • then learn about SQL Server Reporting Services, data chart types,
  • and different analytic techniques. You'll explore stream analytics
  • and the associated data types. Finally, you'll learn to use
  • extract, load, and transform data processing and also extract,
  • transform, and load data processing. This course is one of a series
  • that prepares you for the Microsoft Azure Data Fundamentals
  • (DP-900) exam.

DP-900: Azure Data Fundamentals: Relational Data Workloads

  • Relational data is stored in tables, which allows users to

  • easily categorize and query the data. In this course, you'll learn
  • about the characteristics of relational data and different
  • relational databases. You'll explore how to use indexes and views
  • in a relational database, as well as the different delivery models
  • for relational data. Next, you'll examine Platform as a Service,
  • Infrastructure as a Service, and Software as a Service. Finally,
  • you'll learn about online transaction and analytical processing.
  • This course is one in a series that prepares learners for the
  • Microsoft Azure Data Fundamentals (DP-900) exam.

DP-900 Azure Data Fundamentals: Relational Data Management

  • Relational data management ensures cloud database systems are

  • versatile and functionable. In this course, you'll explore how to
  • work with relational data on Azure, including basic management
  • tasks for relational data such as SQL database and the security
  • features within. You'll then learn about Azure Data Studio, Azure
  • SQL Server Management Studio, SQL Server, and the sqlcmd utility.
  • Finally, you'll learn about SQL Managed Instance, Azure Synapse
  • Analytics, as well as different connectivity issues such as
  • authentication or firewall. This course is one in a series that
  • prepares learners for the Microsoft Azure Data Fundamentals
  • (DP-900) exam.

Azure Data Fundamentals: Provisioning & Configuring Relational Data Services

  • Azure database services are fully managed, which frees up

  • valuable time otherwise spent on managing them. In this course,
  • you'll learn how to provision relational data services and a
  • Microsoft Azure SQL Database. You’ll explore how to provision a
  • Microsoft Azure SQL Database for PostgreSQL, MySQL, and MariaDB.
  • Next, you'll discover how to configure a Microsoft Azure SQL
  • Database. Finally, you’ll learn how to configure Azure Database for
  • PostgreSQL, MySQL, and MariaDB. This course is one in a series that
  • prepares learners for the Microsoft Azure Data Fundamentals
  • (DP-900) exam.

DP-900 Azure Data Fundamentals: Azure SQL Querying Techniques

  • Azure SQL is used for extracting and organizing data that is

  • stored in a relational database. In this course, you'll learn how
  • to recognize and apply data querying techniques using SQL, Data
  • Definition Language, and Data Manipulation Language. You’ll start
  • by learning about Structured Query Language including its uses,
  • features, and limitations. You’ll examine how to work with the Data
  • Definition Language and Data Manipulation Language. Next, you'll
  • learn how to query Azure SQL Database using the Azure portal, SSMS,
  • Data Studio, and the sqlcmd utility. Finally, you'll discover how
  • to query relational data in PostgreSQL, MySQL, and MariaDB. This
  • course is one in a series that prepares learners for the Microsoft
  • Azure Data Fundamentals (DP-900) exam.

DP-900 Azure Data Fundamentals: Non-relational Data Workloads

  • Non-relational databases use a storage model that is optimized

  • for the data being stored. In this course, you'll learn about
  • characteristics of non-relational data, including the different
  • types of non-relational data. You'll learn when to use
  • non-relational versus relational data. Next, you'll explore the use
  • of CSV and JSON files for non-relational data and the requirements
  • of non-relational data stores. You’ll examine free-form text for
  • search, including architecture and challenges. Finally, you'll
  • learn about time series solutions, including their benefits and
  • challenges. This course is one in a series that prepares learners
  • for the Microsoft Azure Data Fundamentals (DP-900) exam.

DP-900 Azure Data Fundamentals: Non-relational Data Services

  • Non-relational data repositories can store data in its original

  • format and allow fast storage and retrieval access. In this course,
  • you'll learn about the non-relational data services, including
  • Azure Table Storage, Azure Blob Storage, and Azure File Storage.
  • You'll also learn how to provision and configure non-relational
  • data services and manage Azure Blob Storage and Azure File Storage.
  • This course is one in a series that prepares learners for the
  • Microsoft Azure Data Fundamentals (DP-900) exam.

DP-900 Azure Data Fundamentals: Azure Cosmos DB

  • Cosmos DB is a fully managed NoSQL database for modern app

  • development. In this course, you'll learn about non-relational data
  • offerings on Azure, including Cosmos DB and the different entities
  • in the resource model. You'll learn how to provision and configure
  • Cosmos DB and query data. Next, you'll explore the various Cosmos
  • DB APIs and learn how to use Core (SQL) API for Cosmos DB. Finally,
  • you'll examine how to use the Cosmos DB API, as well as how to use
  • the Cassandra, Azure Table, and Gremlin APIs in Cosmos DB. This
  • course is one in a series that prepares learners for Microsoft
  • Azure Data Fundamentals (DP-900) exam.

DP-900 Azure Data Fundamentals: Non-relational Data Management

  • Non-relational data does not use SQL for queries and instead it

  • uses other programming languages and constructs to query the data.
  • This course covers basic management tasks for non-relational data,
  • including how to deploy data using the Azure portal, Azure Resource
  • Manager Templates, Azure PowerShell, and the Azure CLI. You'll
  • learn about Cosmos DB firewall, authentication, and other security
  • components. Finally, you'll explore Azure Cosmos DB Explorer and
  • Geo-replication, as well as various issues that may arise with
  • access control, .NET SDKs, and Java SDKs. This course is one in a
  • series that prepares learners for the Microsoft Azure Data
  • Fundamentals (DP-900) exam.

Azure Data Fundamentals: Azure Analytics Workloads

  • Azure Synapse Analytics is a limitless analytics service that

  • brings together data warehousing and big data analytics. In this
  • course, you will learn about analytics workloads, including Azure
  • Synapse Analytics, Azure Synapse SQL pool, Data Warehouse Units.
  • You'll also learn about the difference between transactional and
  • analytic workloads and batch and real time data processing. You'll
  • use Azure Portal and Azure PowerShell to create a Synapse SQL pool
  • and Azure Data Lake Analytics. You'll learn about data warehousing
  • workloads and when to use a data warehouse solution. Finally,
  • you'll learn about the different Azure Data Lake Analytics. This
  • course is one in a series that prepares learners for the Microsoft
  • Azure Data Fundamentals (DP-900) exam.

DP-900 Azure Data Fundamentals: Modern Data Warehousing

  • Modern data warehousing lets you bring your data together at any

  • scale and provide insights through analytics. This course, you’ll
  • learn about the components of a modern data warehouse and its
  • architecture and how it can benefit your organization. You’ll start
  • by learning about modern data warehousing, and then the data
  • warehousing architecture. You'll then learn about Azure Data
  • Factory, Azure Data Lake, and Azure Databricks. You’ll then go on
  • to explore Azure Analysis Services and Azure HDInsights. Finally,
  • you'll discover Azure Distributed Data Engineering Toolkit. This
  • course is one in a series that prepares learners for the Microsoft
  • Azure Data Fundamentals (DP-900) exam.

DP-900 Azure Data Fundamentals: Azure Data Ingestion & Processing

  • Data ingestion and processing allows your data to be assessed,

  • used, and analyzed. In this course, you’ll learn about Azure data
  • ingestion and processing, including loading strategies for Synapse
  • SQL Pools. You'll examine Azure data factory pipelines and
  • activities, as well as how to create an Azure data factory. Next,
  • you'll learn how to use the data factory copy data tool to copy
  • data. Finally, you'll explore how to use SQL Server Integration
  • Services, Azure Databricks, Azure Synapse Analytics, and Azure Data
  • Lake to ingest data. This course is one in a series that prepares
  • learners for the Microsoft Azure Data Fundamentals (DP-900)
  • exam.

DP-900 Azure Data Fundamentals: Azure Data Visualization

  • Power BI allows you to visualize your data and gain deeper

  • insight by creating interactive and immersive dashboards and
  • reports. In this course, you'll learn how to use Microsoft Power BI
  • to optimize data, load datasets, and create dashboards. Next,
  • you'll explore how to use Power BI for paginated and interactive
  • reports, as well as for publishing reports. You'll also examine how
  • to use the different types of Power BI visualizations. Finally,
  • you'll learn about workflows and Power BI security and
  • administration. This course is one in a series that prepares
  • learners for the Microsoft Azure Data Fundamentals (DP-900)
  • exam.

Course options

We offer several optional training products to enhance your learning experience. If you are planning to use our training course in preperation for an official exam then whe highly recommend using these optional training products to ensure an optimal learning experience. Sometimes there is only a practice exam or/and practice lab available.

Optional practice exam (trial exam)

To supplement this training course you may add a special practice exam. This practice exam comprises a number of trial exams which are very similar to the real exam, both in terms of form and content. This is the ultimate way to test whether you are ready for the exam. 

Optional practice lab

To supplement this training course you may add a special practice lab. You perform the tasks on real hardware and/or software applicable to your Lab. The labs are fully hosted in our cloud. The only thing you need to use our practice labs is a web browser. In the LiveLab environment you will find exercises which you can start immediatelyThe lab enviromentconsist of complete networks containing for example, clients, servers,etc. This is the ultimate way to gain extensive hands-on experience. 

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