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This training is available in Dutch and English. More information

Workshop Azure Data Platform End 2 End

Get familiar with the Azure Data Platform by building an end to end data solution

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1 day
740 (excl. VAT)
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Description

In this workshop you will learn about the main concepts related to advanced analytics and Big Data processing and how Azure Data Services can be used to implement a modern data warehouse architecture. You will learn what Azure services you can leverage to establish a solid data platform to quickly ingest, process and visualise data from a large variety of data sources.

The reference architecture you will build as part of this exercise has been proven to give you the flexibility and scalability to grow and handle large volumes of data and keep an optimal level of performance.

In the exercises in this lab you will build data pipelines using data related to New York City. The workshop was designed to progressively implement an extended modern data platform architecture starting from a traditional relational data pipeline.

Then we introduce big data scenarios with large data files and distributed computing. We add non-structured data and AI into the mix and finish off with real-time stream analytics. You will have done all of that by the end of the workshop.

Prior Knowledge

No specific prior knowledge required.

Subjects

  • Modern Data Platform Concepts
  • Modern Data Warehousing
  • Lab 1: Load Data into Azure Synapse Analytics using Azure Data Factory Pipelines
  • Lab 2: Transform Big Data using Azure Data Factory Mapping Data Flows
  • Advanced Analytics
  • Lab 3: Explore Big Data using Azure Databricks
  • Lab 4: Add AI to your Big Data Pipeline with Cognitive Services
  • Real-time Analytics
  • Lab 5: Ingest and Analyse real-time data with Event Hubs and Stream Analytics

Schedule

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All courses can also be conducted within your organization as customized or incompany training.

Our training advisors are happy to help you provide personal advice or find Incompany training within your organization.

Prior knowledge courses

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