DP-200: Implementing an Azure Data Solution

Seminarinformationen

Seminar - Ziel

In this course, the students will implement various data platform technologies into solutions that are in line with business and technical requirements including on-premises, cloud, and hybrid data scenarios incorporating both relational and No-SQL data. They will also learn how to process data using a range of technologies and languages for both streaming and batch data.

The students will also explore how to implement data security including authentication, authorization, data policies and standards. They will also define and implement data solution monitoring for both the data storage and data processing activities. Finally, they will manage and troubleshoot Azure data solutions which includes the optimization and disaster recovery of big data, batch processing and streaming data solutions.

Teilnehmer - Zielgruppe

The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about the data platform technologies that exist on Microsoft Azure.

The secondary audience for this course is individuals who develop applications that deliver content from the data platform technologies that exist on Microsoft Azure.

Kurs - Voraussetzungen


Successful students start this course with knowledge of cloud computing and core data concepts and professional experience with data solutions.

Specifically completing:
•AZ-900 - Azure Fundamentals
•DP-900 - Microsoft Azure Data Fundamentals

Seminardauer

  • 3 Tage
  • 09:00 Uhr bis 17:00 Uhr

Schulungsunterlagen

  • nach Absprache

Seminar-Inhalt / Agenda

Module 1: Azure for the Data Engineer

  • Explain the evolving world of data
  • Survey the services in the Azure Data Platform
  • Identify the tasks that are performed by a Data Engineer
  • Describe the use cases for the cloud in a Case Study

Module 2: Working with Data Storage

  • Choose a data storage approach in Azure
  • Create an Azure Storage Account
  • Explain Azure Data Lake storage
  • Upload data into Azure Data Lake


Module 3: Enabling Team Based Data Science with Azure Databricks

  • Explain Azure Databricks
  • Work with Azure Databricks
  • Read data with Azure Databricks
  • Perform transformations with Azure Databricks


Module 4: Building Globally Distributed Databases with Cosmos DB

  • Create an Azure Cosmos DB database built to scale
  • Insert and query data in your Azure Cosmos DB database
  • Build a .NET Core app for Cosmos DB in Visual Studio Code
  • Distribute data globally with Azure Cosmos DB

Module 5: Working with Relational Data Stores in the Cloud

  • Use Azure SQL Database
  • Describe Azure SQL Data Warehouse
  • Creating and Querying an Azure SQL Data Warehouse
  • Use PolyBase to Load Data into Azure SQL Data Warehouse


Module 6: Performing Real-Time Analytics with Stream Analytics

  • Explain data streams and event processing
  • Data Ingestion with Event Hubs
  • Processing Data with Stream Analytics Jobs


Module 7: Orchestrating Data Movement with Azure Data Factory

  • Explain how Azure Data Factory works
  • Azure Data Factory Components
  • Azure Data Factory and Databricks


Module 8: Securing Azure Data Platforms

  • An introduction to security
  • Key security components
  • Securing Storage Accounts and Data Lake Storage
  • Securing Data Stores
  • Securing Streaming Data

Module 9: Monitoring and Troubleshooting Data Storage and Processing

  • Explain the monitoring capabilities that are available
  • Troubleshoot common data storage issues
  • Troubleshoot common data processing issues
  • Manage disaster recovery

Weitere Schulungen zu Thema Microsoft Azure

MOC 40502 Microsoft Cloud Workshop: Big Data & Visualization

- u.a. in Nürnberg, Berlin, Stuttgart, München, Köln

Die Teilnehmer lernen in dieser SChulung eine intelligente Web-App mittels Machine Learning zu erstellen sowie bereitzustellen. Das notwendige Wissen wird dabei mit Hilfe einer Fallstudie vermittelt.

MOC 40501 Microsoft Cloud Workshop: Container and DevOps

- u.a. in Nürnberg, Berlin, Stuttgart, München, Köln

In dieser Schulung lernen Cloud-Architekten und IT-Professionals Azure Container Services durch Skalierung, Lastverteilung sowie Service Discovery bereitzustellen.

AZ-120: Planning and Administering Microsoft Azure for SAP Workloads

- u.a. in Bremen, Hannover, Düsseldorf, Koblenz, Virtual Classroom

This course teaches IT Professionals experienced in SAP solutions how to leverage Azure resources that include deployment and configuration of virtual machines, virtual networks, storage accounts, and Azure AD that includes implementing and managing hybrid identities. Students ...

AI-100T01: Designing and Implementing an Azure AI Solution

- u.a. in Paderborn, Dresden, Düsseldorf, Darmstadt, Freiburg

Gain the necessary knowledge for designing Azure AI solution by building a customer support chat Bot using artificial intelligence from the Microsoft Azure platform including language understanding and pre-built AI functionality in the Azure Cognitive Services.